Embedded newform data - 504.2.q.d.25.10

Formats: - HTML - YAML - JSON - 2026-01-31T00:00:40.414578

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2016, 'analytic_conductor': 4.024460261872531, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 63, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [504, 3, [127, 253, 281, 73], [3, 3, 2, 2]], 'cm_discs': [], 'conrey_index': 25, 'dim': 22, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [217156, 104850, 1635025, -1585160, 10103800, -4598906, 9429713, -3399116, 5498120, -1723919, 1986059, -528578, 506960, -119204, 86483, -16508, 10217, -1652, 790, -86, 37, -3, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511898427294200, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 63, 8, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '504.2.q.d', 'level': 504, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '504.2.q.d', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 11, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '504.2.q', 'trace_display': [0, 2, 3, -5], 'traces': [22, 0, 2, 0, 3, 0, -5, 0, 10, 0, -3, 0, -3, 0, -1, 0, 7, 0, -1, 0, 0, 0, 2, 0, -10, 0, -4, 0, 9, 0, 8, 0, 29, 0, 14, 0, 2, 0, -16, 0, 16, 0, 0, 0, 1, 0, -10, 0, 15, 0, 7, 0, 11, 0, 22, 0, 7, 0, 38, 0, 26, 0, 48, 0, -26, 0, -52, 0, -4, 0, -48, 0, -35, 0, -23, 0, 17, 0, -20, 0, -38, 0, -28, 0, -20, 0, -33, 0, 6, 0, -37, 0, 19, 0, -24, 0, -29, 0, -56, 0, 1, 0, -21, 0, -21, 0, -12, 0, 27, 0, -33, 0, -8, 0, -28, 0, 22, 0, 15, 0, 2, 0, 33, 0, 12, 0, 58, 0, -19, 0, -22, 0, 2, 0, -58, 0, 12, 0, 2, 0, 21, 0, -11, 0, -36, 0, -5, 0, -11, 0, -8, 0, -34, 0, 21, 0, 26, 0, 122, 0, -45, 0, 48, 0, 20, 0, -22, 0, -60, 0, 44, 0, -6, 0, 86, 0, -67, 0, -2, 0, 62, 0, 95, 0, -110, 0, 130, 0, 18, 0, 28, 0, -12, 0, 8, 0, 48, 0, -1, 0, -107, 0, 78, 0, -64, 0, -44, 0, -18, 0, -88, 0, 1, 0, 13, 0, -109, 0, -16, 0, 28, 0, -10, 0, -61, 0, -31, 0, -17, 0, -48, 0, 27, 0, 46, 0, 44, 0, 11, 0, -34, 0, 2, 0, 53, 0, 48, 0, -14, 0, 28, 0, 104, 0, 85, 0, -7, 0, -11, 0, 18, 0, -1, 0, -13, 0, 69, 0, 54, 0, -47, 0, 39, 0, -6, 0, 16, 0, 41, 0, 1, 0, 162, 0, 130, 0, 80, 0, 18, 0, -80, 0, 36, 0, -88, 0, 56, 0, 68, 0, 125, 0, 30, 0, 8, 0, 2, 0, 101, 0, 40, 0, 188, 0, 234, 0, -72, 0, -66, 0, 24, 0, -16, 0, -57, 0, -196, 0, -65, 0, -100, 0, -60, 0, 21, 0, -38, 0, -177, 0, -33, 0, -56, 0, 56, 0, 18, 0, -3, 0, -145, 0, 69, 0, -88, 0, -57, 0, -24, 0, 30, 0, -11, 0, -30, 0, -38, 0, -3, 0, -69, 0, 57, 0, 114, 0, -108, 0, 50, 0, -85, 0, -21, 0, -17, 0, -80, 0, -5, 0, -38, 0, 79, 0, -123, 0, -75, 0, -153, 0, 57, 0, 54, 0, -122, 0, 37, 0, 116, 0, 84, 0, -78, 0, 36, 0, -30, 0, -29, 0, -108, 0, 177, 0, 62, 0, 120, 0, -172, 0, -27, 0, 58, 0, 192, 0, -188, 0, 216, 0, 92, 0, -20, 0, -126, 0, -44, 0, -32, 0, -100, 0, -182, 0, -44, 0, -90, 0, -146, 0, 26, 0, -61, 0, -5, 0, -19, 0, -160, 0, 140, 0, 70, 0, -47, 0, -152, 0, -101, 0, -119, 0, -150, 0, 106, 0, 72, 0, 60, 0, 9, 0, -54, 0, -29, 0, 82, 0, 25, 0, 90, 0, 146, 0, 260, 0, 72, 0, 50, 0, -131, 0, 193, 0, 76, 0, -53, 0, -48, 0, 73, 0, -92, 0, 87, 0, -112, 0, 51, 0, 10, 0, 8, 0, 198, 0, 60, 0, 14, 0, 13, 0, -117, 0, 67, 0, -122, 0, 70, 0, -216, 0, 115, 0, 75, 0, -39, 0, -8, 0, 97, 0, 174, 0, 362, 0, 177, 0, -36, 0, -166, 0, 27, 0, -146, 0, -96, 0, -215, 0, -106, 0, -34, 0, -68, 0, -94, 0, -89, 0, -294, 0, -5, 0, -135, 0, 119, 0, 102, 0, 18, 0, -256, 0, 168, 0, -187, 0, -66, 0, -83, 0, 40, 0, -105, 0, -46, 0, -92, 0, 26, 0, -129, 0, 59, 0, 127, 0, -78, 0, 92, 0, -19, 0, -78, 0, -82, 0, -127, 0, -13, 0, 23, 0, 38, 0, 63, 0, -112, 0, -159, 0, 80, 0, 75, 0, -101, 0, -27, 0, 110, 0, 340, 0, -86, 0, 54, 0, 125, 0, -28, 0, -29, 0, 193, 0, -154, 0, 96, 0, -186, 0, 128, 0, 60, 0, 293, 0, -22, 0, 294, 0, 54, 0, 340, 0, -90, 0, 80, 0, 222, 0, -68, 0, -285, 0, 86, 0, 16, 0, 34, 0, 130, 0, -156, 0, -29, 0, 66, 0, -145, 0, 84, 0, 246, 0, 71, 0, -122, 0, -146, 0, -232, 0, -179, 0, 0, 0, 96, 0, 208, 0, 129, 0, -125, 0, 83, 0, 48, 0, 44, 0, 55, 0, 76, 0, 258, 0, 287, 0, -11, 0, 113, 0, 152, 0, -7, 0, -37, 0, 28, 0, 31, 0, -200, 0, -6, 0, 26, 0, 26, 0, -6, 0, -70, 0, 198, 0, 131, 0, 185, 0, 71, 0, -40, 0, -13, 0, -132, 0, 144, 0, 120, 0, 192, 0, 7, 0, -46, 0, 196, 0, -5, 0, -6, 0, 210, 0, 456, 0, -392, 0, 46, 0, -14, 0, 32, 0, -84, 0, -322, 0, 83, 0, -44, 0, -149, 0, -12, 0, -62, 0, -290, 0, 15, 0, -217, 0, 76, 0, -246, 0, -19, 0, -220, 0, 45, 0, -65, 0, -219, 0, -47, 0, 123, 0, -38, 0, -93, 0, -114, 0, 182, 0, -9, 0, -6, 0, 165, 0, -62, 0, 180, 0, -163, 0, 8, 0, -77, 0, -272, 0, 49, 0, -43, 0, 50, 0, -162, 0, -134, 0, -81, 0, -23, 0, 30, 0, -168, 0, 101, 0, 120, 0, 179, 0, -232, 0, 45, 0, 87, 0, -64, 0, -149, 0, 100, 0, -12, 0, 87, 0, -222, 0, 34, 0, 98, 0, 363, 0, -222, 0, 204, 0, 39, 0, 218, 0, -234, 0, -18, 0, -6, 0, -118, 0, -276, 0, -114, 0, 18, 0, -189, 0, 11, 0, -97, 0, 11, 0, -132, 0, -203, 0, 157, 0, -14, 0, 33, 0, -209, 0, -18, 0, -141, 0, -210, 0, 56, 0, 69, 0, 205, 0, 17, 0, -74, 0, 72, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.9116436497570448, 0.41098157605621993], [0.0, 0.0], [-0.8588629569177353, 1.4875942781203573], [0.0, 0.0], [-0.9650803553120633, 0.26195401846648914], [0.0, 0.0], [0.662188288284691, 0.7493374879575898], [0.0, 0.0], [-0.2723599093497599, -0.47174120093863786], [0.0, 0.0], [-0.19212403790353302, -0.33276859500420797], [0.0, 0.0], [-1.394350801639731, 1.0031790254129829], [0.0, 0.0], [-0.20213040561468548, 0.3501001322791407], [0.0, 0.0], [-0.01840106414815083, -0.031871578017931355], [0.0, 0.0], [-0.9874676527891328, -0.157821527983734], [0.0, 0.0], [-0.3336629865208336, 0.5779212452592533], [0.0, 0.0], [-0.9752911575309512, -1.6892538370162693], [0.0, 0.0], [0.29571584615940694, 0.9552759487866456], [0.0, 0.0], [-0.701929044441793, 1.215776768281458], [0.0, 0.0], [0.5783674758626716, 0.0], [0.0, 0.0], [-0.05441823955469768, -0.5419947749635649], [0.0, 0.0], [0.4391904686251536, -1.6606306173651986], [0.0, 0.0], [0.26039938920577294, 0.45102497236430145], [0.0, 0.0], [-0.03838689748359432, -0.382325816370039], [0.0, 0.0], [0.9375560102995572, 1.6238946447804026], [0.0, 0.0], [0.526852333293977, -0.9125350093513801], [0.0, 0.0], [-1.683439150779276, 0.34148929805405653], [0.0, 0.0], [1.668463698458067, 0.0], [0.0, 0.0], [0.8627601844185165, -0.5056133544341243], [0.0, 0.0], [-0.32815560484301604, 0.23609468970297356], [0.0, 0.0], [0.18880248119999968, -0.3270154900334672], [0.0, 0.0], [0.9356793483599245, 0.0], [0.0, 0.0], [-0.003676581914225525, -0.036618020052501976], [0.0, 0.0], [1.9620174500565988, 0.0], [0.0, 0.0], [-1.1783044630801944, 0.0], [0.0, 0.0], [-0.8353568746993516, -0.5497080060291388], [0.0, 0.0], [0.6600328771552136, 0.0], [0.0, 0.0], [-1.5071554082299405, 0.0], [0.0, 0.0], [-0.5416967270337095, 0.38972889322832444], [0.0, 0.0], [-0.8227829919925052, 0.0], [0.0, 0.0], [-0.7285311104636046, 1.2618528982175374], [0.0, 0.0], [-0.19486578613132616, -1.9408242303793692], [0.0, 0.0], [0.38642370135011134, 0.3839223930938617], [0.0, 0.0], [1.8085018447845065, 0.0], [0.0, 0.0], [-0.12301334171718194, 0.9924050169963732], [0.0, 0.0], [-0.1594658480133829, 0.2762029508312357], [0.0, 0.0], [-0.3472046356984199, -0.6013760696531061], [0.0, 0.0], [-1.1395710083062425, 0.8198752653616088], [0.0, 0.0], [0.5342746059068165, 0.9253907626244452], [0.0, 0.0], [0.27258520544472986, 0.27082077013051853], [0.0, 0.0], [0.5272650365962155, 0.23769837676969852], [0.0, 0.0], [0.06321596945885499, 0.0], [0.0, 0.0], [0.42525725595509173, -0.7365671736015413], [0.0, 0.0], [0.17313982430776437, -0.5164709886554271], [0.0, 0.0], [-0.403736392108208, -0.6992919439959666], [0.0, 0.0], [0.37136170416793524, -0.6432173396042267], [0.0, 0.0], [1.0828737901279046, -1.3334041659286688], [0.0, 0.0], [-0.285893857332571, -0.495182686471861], [0.0, 0.0], [-0.4294981580877574, 0.7439126315652455], [0.0, 0.0], [0.05202849558706244, 0.5181934033176276], [0.0, 0.0], [-0.7508187009447249, -1.3004561373091261], [0.0, 0.0], [-0.5731415584345712, -0.9927102991378839], [0.0, 0.0], [0.12213369525394611, -0.3643212102596402], [0.0, 0.0], [0.1033619471538218, -0.3908236320597817], [0.0, 0.0], [0.3516401595579811, -0.60905862233605], [0.0, 0.0], [0.18732620262003652, 1.8657314875424198], [0.0, 0.0], [1.6328398758155436, 0.0], [0.0, 0.0], [0.7639369364073527, 0.0], [0.0, 0.0], [0.8553366603568439, -0.6153801441701157], [0.0, 0.0], [0.08429763282381224, -0.14600778300862868], [0.0, 0.0], [0.02610739346288281, 0.025938401140233585], [0.0, 0.0], [-1.6750424214809079, -0.3805459253510399], [0.0, 0.0], [0.15843404716244439, 0.2744158193341174], [0.0, 0.0], [0.01141394067567522, 0.01976952516484652], [0.0, 0.0], [1.5210443355494496, 0.6857078403848861], [0.0, 0.0], [-0.10465377109463218, 0.1812656487395861], [0.0, 0.0], [-1.2057217093114376, -2.0883712603162023], [0.0, 0.0], [0.994327616668766, -0.10636066345135048], [0.0, 0.0], [-0.34070217491746974, 0.5901134772062764], [0.0, 0.0], [-0.39637114983703836, -0.6865349701722467], [0.0, 0.0], [-0.39619154095995, 0.08036831693901096], [0.0, 0.0], [-0.496738400504461, 0.8603761477442241], [0.0, 0.0], [1.936001619244171, 0.0], [0.0, 0.0], [0.306517924533105, -0.22052725357429787], [0.0, 0.0], [0.1706228010331914, -0.6451448008498526], [0.0, 0.0], [0.3065689768396972, 0.530993043910762], [0.0, 0.0], [0.8530061361411351, 0.38454697327221865], [0.0, 0.0], [-0.16667796682823272, -0.28869470704877903], [0.0, 0.0], [0.4261767081192836, -0.7381597114650509], [0.0, 0.0], [0.011697599038320228, -0.03489359287714776], [0.0, 0.0], [-1.3180270801959866, 0.0], [0.0, 0.0], [1.3837411676590314, 1.3747842553498608], [0.0, 0.0], [1.7886607490566082, 0.8063530238740667], [0.0, 0.0], [-0.7239982869715421, 1.2540018176275431], [0.0, 0.0], [0.21483901779858094, 0.0], [0.0, 0.0], [-1.0741937812474436, -0.4842614253107763], [0.0, 0.0], [-0.8945895575713695, 0.0], [0.0, 0.0], [0.22020887580018375, 0.0], [0.0, 0.0], [-0.5356279274119777, 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-0.48732143392349175, -0.4481629273891312, -0.1876231457738954, -0.40323434100960837, -0.05801107111544245, -0.08151670880880496, -0.4719990559036325, -0.14819865733295276, -0.04037100569664205, -0.03374282711728953, -0.10998534684230808, -0.3645130085567008, 0.2121821688551378, -0.23287060328475442, -0.22862859111075257, -0.32598485793265264, -0.2361078372861029, -0.39119241005281336, -0.07136973502053676, -0.4475510851645532, -0.49058695749471054, -0.3365871890108122, -0.07342753951967988, -0.1299482661689959, 0.05967481643063941, -0.27852541164224953, -0.2852195747011469, -0.43823572913323927, 0.16747213682056628, 0.007660945477743823, -0.05524645517504406, 0.1917863710301796, -0.3119922245857001, -0.026947402612121724, -0.26790023366517723, -0.24105069088735967, -0.15165347608886084, -0.20695337651134824, -0.24330647065584135, 0.015671244993106393, -0.2279555167321132, -0.414898636912683, -0.03123284978301453, -0.1540944746343615, -0.40301986024360353, -0.3509198317457001, 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-0.33287684532637174, -0.07933778295956997], 'char_orbit_index': 17, 'conrey_index': 25, 'dual_conrey_index': 121, 'dual_embedding_index': 10, 'dual_embedding_m': 21, 'embedding_index': 10, 'embedding_m': 10, 'hecke_orbit': 4, 'hecke_orbit_code': 13511898427294200, 'label': '504.2.q.d.25.10', 'level': 504, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 2016, 'analytic_conductor': 4.024460261872531, 'char_conductor': 63, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 17, 'char_orbit_label': 'q', 'char_order': 3, 'char_parity': 1, 'char_values': [504, 3, [127, 253, 281, 73], [3, 3, 2, 2]], 'conrey_index': 25, 'cusp_dim': 176, 'dim': 48, 'eis_dim': 32, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 1099545182712, 'hecke_orbit_dims': [2, 2, 22, 22], 'label': '504.2.q', 'level': 504, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 208, 'mf_new_dim': 48, 'num_forms': 4, 'prim_orbit_index': 8, 'relative_dim': 24, 'sturm_bound': 192, 'trace_bound': 5, 'trace_display': [0, 0, 4, 0], 'traces': [48, 0, 0, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, -8, 0, 8, 0, 0, 0, 0, 0, -4, 0, -24, 0, -6, 0, -6, 0, -12, 0, 8, 0, 12, 0, 0, 0, -26, 0, 18, 0, 6, 0, -2, 0, -12, 0, -6, 0, 36, 0, 4, 0, 12, 0, -20, 0, 72, 0, -12, 0, 26, 0, -24, 0, 0, 0, -32, 0, -40, 0, 0, 0, 30, 0, 28, 0, 12, 0, -8, 0, -36, 0, 0, 0, -68, 0, 18, 0, -6, 0, 8, 0, 20, 0, 0, 0, -32, 0, 40, 0, 12, 0, 24, 0, -28, 0, 12, 0, -44, 0, -26, 0, 0, 0, 30, 0, -18, 0, -24, 0, 24, 0, -72, 0, 12, 0, -60, 0, -50, 0, 12, 0, -92, 0, -10, 0, 0, 0, 18, 0, -16, 0, 6, 0, -34, 0, 38, 0, -12, 0, -30, 0, 16, 0, 0, 0, 36, 0, -64, 0, 0, 0, 50, 0, -30, 0, -12, 0, 4, 0, -8, 0, 6, 0, -86, 0, 44, 0, 36, 0, 50, 0, -152, 0, 0, 0, -114, 0, 72, 0, -24, 0, 6, 0, 32, 0, 0, 0, -14, 0, 18, 0, 12, 0, 22, 0, 54, 0, 0, 0, 144, 0, 20, 0, -30, 0, -28, 0, 32, 0, -18, 0, 74, 0, -110, 0, 42, 0, 30, 0, 60, 0, 18, 0, 32, 0, 40, 0, 6, 0, -30, 0, 128, 0, 30, 0, -54, 0, 156, 0, -48, 0, 194, 0, 8, 0, -6, 0, 122, 0, 0, 0, -36, 0, 50, 0, 56, 0, 0, 0, 112, 0, -90, 0, 6, 0, 122, 0, -28, 0, 60, 0, -32, 0, 102, 0, -12, 0, -22, 0, 40, 0, -12, 0, -34, 0, 152, 0, 24, 0, 68, 0, -24, 0, -84, 0, -40, 0, 80, 0, 24, 0, 226, 0, -148, 0, -72, 0, 38, 0, -20, 0, 0, 0, -100, 0, -54, 0, -72, 0, 40, 0, -36, 0, 18, 0, -142, 0, 30, 0, 54, 0, -54, 0, -148, 0, -42, 0, 10, 0, 76, 0, 18, 0, 50, 0, -72, 0, -36, 0, -94, 0, -64, 0, 18, 0, -28, 0, -174, 0, 24, 0, 72, 0, -84, 0, -96, 0, -194, 0, 64, 0, -42, 0, -156, 0, -84, 0, -36, 0, 32, 0, -190, 0, -6, 0, -116, 0, 92, 0, 30, 0, -176, 0, 92, 0, 48, 0, -90, 0, -206, 0, 18, 0, 70, 0, -88, 0, -36, 0, 46, 0, -20, 0, 12, 0, -166, 0, 12, 0, -60, 0, 110, 0, -260, 0, 168, 0, -112, 0, 216, 0, -36, 0, 6, 0, 136, 0, 0, 0, -70, 0, -104, 0, -12, 0, -78, 0, 82, 0, 18, 0, 270, 0, -70, 0, 42, 0, 126, 0, 248, 0, 0, 0, 156, 0, -52, 0, -12, 0, -108, 0, 144, 0, -54, 0, 210, 0, 0, 0, 24, 0, -140, 0, 144, 0, 54, 0, -58, 0, 88, 0, -36, 0, 118, 0, 16, 0, -108, 0, 268, 0, 116, 0, 0, 0, -112, 0, 164, 0, 18, 0, 258, 0, -128, 0, 18, 0, 120, 0, -70, 0, -60, 0, -86, 0, 130, 0, -18, 0, -128, 0, 124, 0, -42, 0, -54, 0, -120, 0, 30, 0, 332, 0, -6, 0, -48, 0, -182, 0, 444, 0, 96, 0, 104, 0, -312, 0, -72, 0, 48, 0, -380, 0, 18, 0, 124, 0, -70, 0, -36, 0, 8, 0, -98, 0, 12, 0, -334, 0, -4, 0, 60, 0, -48, 0, -12, 0, 78, 0, -274, 0, 190, 0, -90, 0, 22, 0, -110, 0, -36, 0, -264, 0, -26, 0, -24, 0, -56, 0, -204, 0, 12, 0, 88, 0, -108, 0, 72, 0, -288, 0, -142, 0, -48, 0, -296, 0, -40, 0, 90, 0, 76, 0, -100, 0, 0, 0, -246, 0, 118, 0, -54, 0, -204, 0, -12, 0, -72, 0, 232, 0, -264, 0, 12, 0, 52, 0, -68, 0, 48, 0, 132, 0, -156, 0, -60, 0, -230, 0, 170, 0, 48, 0, 150, 0, -392, 0, -84, 0, -228, 0, 448, 0, 72, 0, 12, 0, 172, 0, 24, 0, 42, 0, 170, 0, 84, 0, 90, 0, 72, 0, 12, 0, 242, 0, 100, 0, -24, 0, -12, 0, 240, 0, 174, 0, 64, 0, -286, 0, -30, 0, -36, 0, 132, 0, 54, 0, 290, 0, 176, 0, 0, 0, 34, 0, 136, 0, -66, 0, -182, 0, 360, 0, 120, 0, 470, 0, 68, 0, 114, 0, 412, 0, 60, 0, 60, 0, 50, 0, 208, 0, 0, 0, 146, 0, -120, 0, -84, 0, 196, 0, -144, 0, 108, 0, -116, 0, 338, 0, 18, 0, -26, 0, 196, 0, 36, 0, -2, 0, 288, 0, -90, 0, 186, 0, -106, 0, 228, 0, -164, 0, 272, 0, -168, 0, 454, 0, -340, 0, 0, 0, -152, 0, 12, 0, 0, 0, -220, 0, 160, 0, 96, 0, -100, 0, -90, 0, -24, 0, -362, 0, 42, 0, -18, 0, -52, 0, -232, 0, 24, 0, 6, 0, 244, 0, 114, 0, 34, 0, -284, 0, 102, 0, -230, 0, -78, 0, -66, 0, 266, 0, -306, 0, -60, 0, 208, 0, -388, 0, 144, 0, -390, 0, 64, 0, 90, 0, -362, 0, 0, 0, -6, 0, -36, 0, -348, 0, 0, 0, -62, 0, 206, 0, -36, 0, -130, 0, 148, 0, -12, 0, -238, 0, -248, 0, 66, 0, 222, 0, -174, 0, 6, 0, -116, 0, -72, 0, -102, 0, -306, 0, 8, 0, 156, 0, 274, 0, -404, 0, -216, 0, -468, 0, 232, 0, -12, 0, 2, 0, 164, 0, -24, 0, 60, 0, -224, 0, 96, 0, -154, 0, 172, 0, 6, 0, 514, 0, -256, 0, -36, 0, 80, 0, -12, 0, -48, 0, 66, 0, -122, 0, 126, 0, -154, 0, 214, 0, 72, 0, 202, 0, -2, 0, -30, 0, -146, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 43576106
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 25, 'target_dim': 22, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511898427294200, 'target_is_minimal': True, 'target_label': '504.2.q.d.25.10', 'target_level': 504, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 43576107
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 1369, 'target_dim': 22, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9008298799924712, 'target_is_minimal': False, 'target_label': '1512.2.q.c.1369.11', 'target_level': 1512, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43576108
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 529, 'target_dim': 22, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45037095818888176, 'target_is_minimal': False, 'target_label': '1008.2.q.k.529.2', 'target_level': 1008, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 43576109
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 457, 'target_dim': 22, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13512104585724408, 'target_is_minimal': True, 'target_label': '504.2.t.d.457.2', 'target_level': 504, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43576110
    {'conductor': 9, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 193, 'target_dim': 22, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13512104585724408, 'target_is_minimal': True, 'target_label': '504.2.t.d.193.2', 'target_level': 504, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '9.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 43576111
    {'conductor': 9, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 361, 'target_dim': 22, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512104585725416, 'target_is_minimal': False, 'target_label': '1512.2.t.d.361.1', 'target_level': 1512, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '9.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 43576112
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 2881, 'target_dim': 22, 'target_embedding_index': 11, 'target_hecke_orbit_code': 45037095818890192, 'target_is_minimal': False, 'target_label': '3024.2.q.k.2881.11', 'target_level': 3024, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 43576113
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 289, 'target_dim': 22, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13512104585725416, 'target_is_minimal': False, 'target_label': '1512.2.t.d.289.1', 'target_level': 1512, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 43576114
    {'conductor': 28, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 961, 'target_dim': 22, 'target_embedding_index': 10, 'target_hecke_orbit_code': 45037301977318384, 'target_is_minimal': False, 'target_label': '1008.2.t.k.961.10', 'target_level': 1008, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '28.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 43576115
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 1873, 'target_dim': 22, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49540901604690896, 'target_is_minimal': False, 'target_label': '3024.2.t.l.1873.1', 'target_level': 3024, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '36.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 43576116
    {'conductor': 36, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 193, 'target_dim': 22, 'target_embedding_index': 10, 'target_hecke_orbit_code': 45037301977318384, 'target_is_minimal': False, 'target_label': '1008.2.t.k.193.10', 'target_level': 1008, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '36.31', 'twisting_conrey_index': 31, 'weight': 2}
  • id: 43576117
    {'conductor': 63, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 793, 'target_dim': 22, 'target_embedding_index': 11, 'target_hecke_orbit_code': 9008298799924712, 'target_is_minimal': False, 'target_label': '1512.2.q.c.793.11', 'target_level': 1512, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '63.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 43576118
    {'conductor': 63, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 121, 'target_dim': 22, 'target_embedding_index': 10, 'target_hecke_orbit_code': 13511898427294200, 'target_is_minimal': True, 'target_label': '504.2.q.d.121.10', 'target_level': 504, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '63.58', 'twisting_conrey_index': 58, 'weight': 2}
  • id: 43576119
    {'conductor': 84, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 289, 'target_dim': 22, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49540901604690896, 'target_is_minimal': False, 'target_label': '3024.2.t.l.289.1', 'target_level': 3024, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '84.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 43576120
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 2305, 'target_dim': 22, 'target_embedding_index': 11, 'target_hecke_orbit_code': 45037095818890192, 'target_is_minimal': False, 'target_label': '3024.2.q.k.2305.11', 'target_level': 3024, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '252.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 43576121
    {'conductor': 252, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 25, 'source_dim': 22, 'source_embedding_index': 10, 'source_hecke_orbit_code': 13511898427294200, 'source_is_minimal': True, 'source_label': '504.2.q.d.25.10', 'source_level': 504, 'target_conrey_index': 625, 'target_dim': 22, 'target_embedding_index': 2, 'target_hecke_orbit_code': 45037095818888176, 'target_is_minimal': False, 'target_label': '1008.2.q.k.625.2', 'target_level': 1008, 'twist_class_label': '504.2.q.d.25.10', 'twist_class_level': 504, 'twisting_char_label': '252.247', 'twisting_conrey_index': 247, 'weight': 2}
• hecke_orbit_code 13511898427294200 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 17, 'hecke_orbit': 4, 'label': '504.2.q.d', 'level': 504, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 37399141
    {'hecke_orbit_code': 13511898427294200, 'n': 1, 'trace_an': 22}
  • id: 37399142
    {'hecke_orbit_code': 13511898427294200, 'n': 2, 'trace_an': 0}
  • id: 37399143
    {'hecke_orbit_code': 13511898427294200, 'n': 3, 'trace_an': 2}
  • id: 37399144
    {'hecke_orbit_code': 13511898427294200, 'n': 4, 'trace_an': 0}
  • id: 37399145
    {'hecke_orbit_code': 13511898427294200, 'n': 5, 'trace_an': 3}
  • id: 37399146
    {'hecke_orbit_code': 13511898427294200, 'n': 6, 'trace_an': 0}
  • id: 37399147
    {'hecke_orbit_code': 13511898427294200, 'n': 7, 'trace_an': -5}
  • id: 37399148
    {'hecke_orbit_code': 13511898427294200, 'n': 8, 'trace_an': 0}
  • id: 37399149
    {'hecke_orbit_code': 13511898427294200, 'n': 9, 'trace_an': 10}
  • id: 37399150
    {'hecke_orbit_code': 13511898427294200, 'n': 10, 'trace_an': 0}
  • id: 37399151
    {'hecke_orbit_code': 13511898427294200, 'n': 11, 'trace_an': -3}
  • id: 37399152
    {'hecke_orbit_code': 13511898427294200, 'n': 12, 'trace_an': 0}
  • id: 37399153
    {'hecke_orbit_code': 13511898427294200, 'n': 13, 'trace_an': -3}
  • id: 37399154
    {'hecke_orbit_code': 13511898427294200, 'n': 14, 'trace_an': 0}
  • id: 37399155
    {'hecke_orbit_code': 13511898427294200, 'n': 15, 'trace_an': -1}
  • id: 37399156
    {'hecke_orbit_code': 13511898427294200, 'n': 16, 'trace_an': 0}
  • id: 37399157
    {'hecke_orbit_code': 13511898427294200, 'n': 17, 'trace_an': 7}
  • id: 37399158
    {'hecke_orbit_code': 13511898427294200, 'n': 18, 'trace_an': 0}
  • id: 37399159
    {'hecke_orbit_code': 13511898427294200, 'n': 19, 'trace_an': -1}
  • id: 37399160
    {'hecke_orbit_code': 13511898427294200, 'n': 20, 'trace_an': 0}
  • id: 37399161
    {'hecke_orbit_code': 13511898427294200, 'n': 21, 'trace_an': 0}
  • id: 37399162
    {'hecke_orbit_code': 13511898427294200, 'n': 22, 'trace_an': 0}
  • id: 37399163
    {'hecke_orbit_code': 13511898427294200, 'n': 23, 'trace_an': 2}
  • id: 37399164
    {'hecke_orbit_code': 13511898427294200, 'n': 24, 'trace_an': 0}
  • id: 37399165
    {'hecke_orbit_code': 13511898427294200, 'n': 25, 'trace_an': -10}
  • id: 37399166
    {'hecke_orbit_code': 13511898427294200, 'n': 26, 'trace_an': 0}
  • id: 37399167
    {'hecke_orbit_code': 13511898427294200, 'n': 27, 'trace_an': -4}
  • id: 37399168
    {'hecke_orbit_code': 13511898427294200, 'n': 28, 'trace_an': 0}
  • id: 37399169
    {'hecke_orbit_code': 13511898427294200, 'n': 29, 'trace_an': 9}
  • id: 37399170
    {'hecke_orbit_code': 13511898427294200, 'n': 30, 'trace_an': 0}
  • id: 37399171
    {'hecke_orbit_code': 13511898427294200, 'n': 31, 'trace_an': 8}
  • id: 37399172
    {'hecke_orbit_code': 13511898427294200, 'n': 32, 'trace_an': 0}
  • id: 37399173
    {'hecke_orbit_code': 13511898427294200, 'n': 33, 'trace_an': 29}
  • id: 37399174
    {'hecke_orbit_code': 13511898427294200, 'n': 34, 'trace_an': 0}
  • id: 37399175
    {'hecke_orbit_code': 13511898427294200, 'n': 35, 'trace_an': 14}
  • id: 37399176
    {'hecke_orbit_code': 13511898427294200, 'n': 36, 'trace_an': 0}
  • id: 37399177
    {'hecke_orbit_code': 13511898427294200, 'n': 37, 'trace_an': 2}
  • id: 37399178
    {'hecke_orbit_code': 13511898427294200, 'n': 38, 'trace_an': 0}
  • id: 37399179
    {'hecke_orbit_code': 13511898427294200, 'n': 39, 'trace_an': -16}
  • id: 37399180
    {'hecke_orbit_code': 13511898427294200, 'n': 40, 'trace_an': 0}
  • id: 37399181
    {'hecke_orbit_code': 13511898427294200, 'n': 41, 'trace_an': 16}
  • id: 37399182
    {'hecke_orbit_code': 13511898427294200, 'n': 42, 'trace_an': 0}
  • id: 37399183
    {'hecke_orbit_code': 13511898427294200, 'n': 43, 'trace_an': 0}
  • id: 37399184
    {'hecke_orbit_code': 13511898427294200, 'n': 44, 'trace_an': 0}
  • id: 37399185
    {'hecke_orbit_code': 13511898427294200, 'n': 45, 'trace_an': 1}
  • id: 37399186
    {'hecke_orbit_code': 13511898427294200, 'n': 46, 'trace_an': 0}
  • id: 37399187
    {'hecke_orbit_code': 13511898427294200, 'n': 47, 'trace_an': -10}
  • id: 37399188
    {'hecke_orbit_code': 13511898427294200, 'n': 48, 'trace_an': 0}
  • id: 37399189
    {'hecke_orbit_code': 13511898427294200, 'n': 49, 'trace_an': 15}
  • id: 37399190
    {'hecke_orbit_code': 13511898427294200, 'n': 50, 'trace_an': 0}
  • id: 37399191
    {'hecke_orbit_code': 13511898427294200, 'n': 51, 'trace_an': 7}
  • id: 37399192
    {'hecke_orbit_code': 13511898427294200, 'n': 52, 'trace_an': 0}
  • id: 37399193
    {'hecke_orbit_code': 13511898427294200, 'n': 53, 'trace_an': 11}
  • id: 37399194
    {'hecke_orbit_code': 13511898427294200, 'n': 54, 'trace_an': 0}
  • id: 37399195
    {'hecke_orbit_code': 13511898427294200, 'n': 55, 'trace_an': 22}
  • id: 37399196
    {'hecke_orbit_code': 13511898427294200, 'n': 56, 'trace_an': 0}
  • id: 37399197
    {'hecke_orbit_code': 13511898427294200, 'n': 57, 'trace_an': 7}
  • id: 37399198
    {'hecke_orbit_code': 13511898427294200, 'n': 58, 'trace_an': 0}
  • id: 37399199
    {'hecke_orbit_code': 13511898427294200, 'n': 59, 'trace_an': 38}
  • id: 37399200
    {'hecke_orbit_code': 13511898427294200, 'n': 60, 'trace_an': 0}
  • id: 37399201
    {'hecke_orbit_code': 13511898427294200, 'n': 61, 'trace_an': 26}
  • id: 37399202
    {'hecke_orbit_code': 13511898427294200, 'n': 62, 'trace_an': 0}
  • id: 37399203
    {'hecke_orbit_code': 13511898427294200, 'n': 63, 'trace_an': 48}
  • id: 37399204
    {'hecke_orbit_code': 13511898427294200, 'n': 64, 'trace_an': 0}
  • id: 37399205
    {'hecke_orbit_code': 13511898427294200, 'n': 65, 'trace_an': -26}
  • id: 37399206
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  • id: 37399207
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  • id: 37399208
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  • id: 37399209
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  • id: 37399210
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  • id: 37399211
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  • id: 37399212
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  • id: 37399213
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  • id: 37399214
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  • id: 37399215
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  • id: 37399216
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  • id: 37399217
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  • id: 37399218
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  • id: 37399219
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  • id: 37399220
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  • id: 37399221
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  • id: 37399222
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  • id: 37399223
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  • id: 37399224
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  • id: 37399225
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  • id: 37399226
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  • id: 37399227
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  • id: 37399228
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  • id: 37399229
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  • id: 37399230
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  • id: 37399231
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  • id: 37399232
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  • id: 37399233
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  • id: 37399234
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  • id: 37399235
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  • id: 37399236
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  • id: 37399237
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  • id: 37399238
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  • id: 37399239
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  • id: 37399240
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  • id: 37399241
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  • id: 37399242
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  • id: 37399243
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  • id: 37399244
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  • id: 37399245
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  • id: 37399246
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  • id: 37399247
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  • id: 37399248
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  • id: 37399249
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  • id: 37399250
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  • id: 37399251
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  • id: 37399252
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  • id: 37399253
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  • id: 37399254
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  • id: 37399255
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  • id: 37399256
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  • id: 37399257
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  • id: 37399258
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  • id: 37399259
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  • id: 37399260
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  • id: 37399261
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  • id: 37399262
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  • id: 37399263
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  • id: 37399264
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  • id: 37399265
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  • id: 37399266
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  • id: 37399267
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  • id: 37399268
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  • id: 37399269
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  • id: 37399270
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  • id: 37399271
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  • id: 37399272
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  • id: 37399273
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  • id: 37399274
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  • id: 37399275
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  • id: 37399276
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  • id: 37399277
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  • id: 37399278
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  • id: 37399279
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  • id: 37399280
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  • id: 37399281
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  • id: 37399282
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  • id: 37399283
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  • id: 37399284
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  • id: 37399285
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  • id: 37399286
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  • id: 37399287
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  • id: 37399288
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  • id: 37399289
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  • id: 37399290
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  • id: 37399291
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  • id: 37399292
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  • id: 37399293
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  • id: 37399294
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  • id: 37399295
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  • id: 37399296
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  • id: 37399297
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  • id: 37399298
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  • id: 37399299
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  • id: 37399300
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  • id: 37399301
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  • id: 37399302
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  • id: 37399303
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  • id: 37399304
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  • id: 37399305
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  • id: 37399306
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  • id: 37399307
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  • id: 37399308
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  • id: 37399309
    {'hecke_orbit_code': 13511898427294200, 'n': 439, 'trace_an': 216}
  • id: 37399310
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  • id: 37399311
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  • id: 37399312
    {'hecke_orbit_code': 13511898427294200, 'n': 457, 'trace_an': -90}
  • id: 37399313
    {'hecke_orbit_code': 13511898427294200, 'n': 461, 'trace_an': 26}
  • id: 37399314
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  • id: 37399315
    {'hecke_orbit_code': 13511898427294200, 'n': 467, 'trace_an': -19}
  • id: 37399316
    {'hecke_orbit_code': 13511898427294200, 'n': 479, 'trace_an': -101}
  • id: 37399317
    {'hecke_orbit_code': 13511898427294200, 'n': 487, 'trace_an': 72}
  • id: 37399318
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  • id: 37399319
    {'hecke_orbit_code': 13511898427294200, 'n': 499, 'trace_an': 25}
  • id: 37399320
    {'hecke_orbit_code': 13511898427294200, 'n': 503, 'trace_an': 146}
  • id: 37399321
    {'hecke_orbit_code': 13511898427294200, 'n': 509, 'trace_an': 50}
  • id: 37399322
    {'hecke_orbit_code': 13511898427294200, 'n': 512, 'trace_an': 0}
  • id: 37399323
    {'hecke_orbit_code': 13511898427294200, 'n': 521, 'trace_an': 73}
  • id: 37399324
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  • id: 37399325
    {'hecke_orbit_code': 13511898427294200, 'n': 529, 'trace_an': 51}
  • id: 37399326
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  • id: 37399327
    {'hecke_orbit_code': 13511898427294200, 'n': 547, 'trace_an': -122}
  • id: 37399328
    {'hecke_orbit_code': 13511898427294200, 'n': 557, 'trace_an': -39}
  • id: 37399329
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  • id: 37399330
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  • id: 37399331
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  • id: 37399332
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  • id: 37399333
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  • id: 37399334
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  • id: 37399335
    {'hecke_orbit_code': 13511898427294200, 'n': 599, 'trace_an': 102}
  • id: 37399336
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  • id: 37399337
    {'hecke_orbit_code': 13511898427294200, 'n': 607, 'trace_an': -187}
  • id: 37399338
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  • id: 37399339
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  • id: 37399340
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  • id: 37399341
    {'hecke_orbit_code': 13511898427294200, 'n': 625, 'trace_an': 59}
  • id: 37399342
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  • id: 37399343
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  • id: 37399344
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  • id: 37399345
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  • id: 37399346
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  • id: 37399347
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  • id: 37399348
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  • id: 37399349
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  • id: 37399350
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  • id: 37399351
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  • id: 37399352
    {'hecke_orbit_code': 13511898427294200, 'n': 691, 'trace_an': 294}
  • id: 37399353
    {'hecke_orbit_code': 13511898427294200, 'n': 701, 'trace_an': 222}
  • id: 37399354
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  • id: 37399355
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  • id: 37399356
    {'hecke_orbit_code': 13511898427294200, 'n': 727, 'trace_an': 71}
  • id: 37399357
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  • id: 37399358
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  • id: 37399359
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  • id: 37399360
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  • id: 37399361
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  • id: 37399362
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  • id: 37399363
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  • id: 37399364
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  • id: 37399365
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  • id: 37399366
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  • id: 37399367
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  • id: 37399368
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  • id: 37399369
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  • id: 37399370
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  • id: 37399371
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  • id: 37399372
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  • id: 37399373
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  • id: 37399374
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  • id: 37399375
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  • id: 37399376
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  • id: 37399377
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  • id: 37399378
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  • id: 37399379
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  • id: 37399380
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  • id: 37399381
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  • id: 37399382
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  • id: 37399383
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  • id: 37399384
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  • id: 37399385
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  • id: 37399386
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  • id: 37399387
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  • id: 37399388
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  • id: 37399389
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  • id: 37399390
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  • id: 37399391
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  • id: 37399392
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  • id: 37399393
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  • id: 37399394
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  • id: 37399395
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  • id: 37399396
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  • id: 37399397
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  • id: 37399398
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