Embedded newform data - 425.2.a.i.1.2

Formats: - HTML - YAML - JSON - 2026-03-08T20:50:38.746831

• 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': 1700, 'analytic_conductor': 3.3936420859044163, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[5, 1], [17, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [425, 1, [52, 326], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 5, 'field_disc': 1893456, 'field_disc_factorization': [[2, 4], [3, 5], [487, 1]], 'field_poly': [-25, 23, 10, -10, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-3, 21, -6, -10, 1, 1]], [3, [-25, 23, 10, -10, -1, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518825, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '425.2.a.i', 'level': 425, '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': [5, 17], 'level_radical': 85, 'minimal_twist': '425.2.a.i', 'nf_label': '5.5.1893456.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{2}q^{2}+\\beta _{1}q^{3}+(2+\\beta _{1}+\\beta _{2}+\\beta _{4})q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 5, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '425.2.a', 'trace_display': [-1, 1, 0, 1], 'trace_hash': 1974151839732370247, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.062', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.575', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.769', 'prec': 17}, {'__RealLiteral__': 0, 'data': '54.935', 'prec': 20}, {'__RealLiteral__': 0, 'data': '34.714', 'prec': 20}, {'__RealLiteral__': 0, 'data': '979.059', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.006', 'prec': 17}, 'traces': [5, -1, 1, 11, 0, 3, 1, -9, 6, 0, 4, 17, -3, -7, 0, 27, 5, -22, 6, 0, -5, 18, 4, -19, 0, -5, -5, -15, 2, 0, 21, -9, 12, -1, 0, 22, -2, -34, 23, 0, -8, 25, -4, -4, 0, -6, -2, 51, 10, 0, 1, -13, 21, -25, 0, -29, -20, 22, 12, 0, -2, 3, 8, 43, 0, -28, -12, 11, 0, 0, 21, -58, 22, -50, 0, -14, -32, -53, 41, 0, -35, 28, -8, -71, 0, -36, -4, 14, -10, 0, 13, 56, 9, -10, 0, -85, -20, 38, -14, 0, -1, 3, 2, -65, 0, -13, 23, -21, 18, 0, 8, -81, 12, -16, 0, -6, 2, 28, 1, 0, 5, -6, -22, 69, 0, 6, 0, -61, -6, 0, -11, 88, 32, -4, 0, -9, -5, -16, -11, 0, -26, -63, 14, 54, 0, 26, 16, 58, 13, 0, 50, -94, 6, 16, 0, 51, -25, -23, 19, 0, -56, 19, -7, -20, 0, -12, 28, -3, -4, 0, 40, -44, 28, -28, 0, 72, -34, 34, 10, 0, -12, 99, -42, 26, 0, 87, 4, -42, -15, 0, 30, 193, -18, 32, 0, 6, -14, 14, 40, 0, -20, -43, -72, 17, 0, 66, 10, 15, -20, 0, 39, 91, -9, 15, 0, -47, 51, -58, -56, 0, -3, -60, -42, 37, 0, -100, 29, -12, -3, 0, 44, 62, -14, 14, 0, 32, -55, -7, -20, 0, -10, -29, 26, -34, 0, 66, 14, -3, -12, 0, -24, 28, 12, -32, 0, 91, -51, -122, -4, 0, -20, -31, -20, -28, 0, 48, 92, 76, -26, 0, 38, 27, 63, -7, 0, 88, 44, 63, 18, 0, -11, -50, -20, 141, 0, -92, -22, -106, 5, 0, -8, -78, 6, 94, 0, -102, 4, 115, -46, 0, -22, 62, 1, -6, 0, -22, 28, -92, -54, 0, 19, -163, -52, 45, 0, 93, 44, -7, 80, 0, -45, -92, 6, -41, 0, -53, 4, 132, -42, 0, 18, -52, 48, 94, 0, -99, 20, -4, -20, 0, -48, -32, 47, -128, 0, -12, 39, 104, -41, 0, 7, -34, 5, 178, 0, 30, -5, -6, -6, 0, 5, 0, -109, -7, 0, 50, -13, 144, -36, 0, -13, -45, -71, 18, 0, -14, -22, 31, 9, 0, -94, 66, -18, -207, 0, -38, 32, -96, -50, 0, 4, 58, 13, 42, 0, -54, -52, 118, 6, 0, -32, 56, -33, 17, 0, -40, -52, -19, -69, 0, -11, -98, 34, -70, 0, -161, -21, -4, -80, 0, -21, -85, 8, -49, 0, -39, 10, -101, -52, 0, -9, 21, -66, -75, 0, -38, -32, 172, 41, 0, -28, -5, 42, 64, 0, 126, 53, -75, 42, 0, -4, 16, 70, -25, 0, -116, 65, -5, -5, 0, -26, -102, 0, 102, 0, 78, 54, 62, -64, 0, -15, 148, 48, 83, 0, -15, 34, 52, -52, 0, 6, 30, -100, -33, 0, 54, -12, 38, 59, 0, 32, -98, 2, 98, 0, 15, -51, 44, 25, 0, -52, -24, 68, 82, 0, 44, -2, -52, 29, 0, 108, -237, 56, -77, 0, 122, 52, 4, 78, 0, -30, 24, -76, -39, 0, -36, 21, 24, -7, 0, -16, 148, -60, -40, 0, 140, -72, -14, -14, 0, 18, 6, 30, -9, 0, 29, 79, 93, 4, 0, -32, -4, -33, 104, 0, -67, -87, -108, 64, 0, 12, -117, -110, 58, 0, -50, -31, -93, 82, 0, 65, 42, -48, -98, 0, 122, -10, -1, -124, 0, 88, 76, 4, 46, 0, 54, 48, -92, -12, 0, -30, 114, 123, -56, 0, -29, 44, -116, 72, 0, 36, 134, -8, 62, 0, 9, 39, -106, 10, 0, -2, 22, -9, 20, 0, -36, 22, 82, -48, 0, 16, -43, 36, 81, 0, 144, 4, -23, -2, 0, 56, 11, -41, -24, 0, 123, -2, -28, 84, 0, -26, 97, 3, -104, 0, -34, -60, 99, -64, 0, -57, 57, 34, -160, 0, -96, -4, 22, -14, 0, 19, -38, 23, -40, 0, -104, 68, -140, 42, 0, -24, 33, -14, -44, 0, 44, -36, -220, 72, 0, 55, 168, 31, 148, 0, 29, -115, 84, -19, 0, 41, 128, -48, -45, 0, 60, -8, -111, -48, 0, 18, 9, 36, 112, 0, -101, 79, -198, 18, 0, 64, -22, -12, 25, 0, 50, 44, -94, 67, 0, -58, 83, -30, -84, 0, 137, -86, 125, -3, 0, -4, -110, 21, 161, 0, -58, -68, 64, 10, 0, 124, -57, 95, 27, 0, -21, 4, -4, 101, 0, 152, 42, 96, -138, 0, 95, 14, -167, 34, 0, -63, 34, 20, -78, 0, -146, -116, 227, 1, 0, -55, -118, -49, 16, 0, 76, -106, 106, -60, 0, -36, -6, 36, -102, 0, -53, 47, 62, 120, 0, -64, -50, -46, -80, 0, -20, 49, 190, -2, 0, -44, -36, -20, -60, 0, 63, -106, -111, 38, 0, -59, -104, 84, -12, 0, 51, 104, -39, -86, 0, 58, 109, -9, 202, 0, -198, -80, 42, 33, 0, -14, 223, 10, 29, 0, -192, -105, 10, 65, 0, 11, -135, 93, 67, 0, 36, 15, 195, 44, 0, 56, 165, 116, -50, 0, -35, 22, 80, -6, 0, -28, -7, -56, -125, 0, 134, 1, -63, 8, 0, -124, -274, -52, -160, 0, -248, 2, -59, 90, 0, 44, 12, -54, -13, 0, -102, 23, -224, -38, 0, -22, -150, 56, 123, 0, 179, -28, -18, -108, 0, 21, 60, 64, -280, 0, 6, -60, 221, 42, 0, -65, 36, -72, -93, 0, -241, 63, -25, 48, 0, 148, -78, -75, 4, 0, -76, -64, 14, 62, 0, -52, -46, 25, -194, 0, -54, 87, -228, -6, 0, -76, 7, 32, -132, 0, -164, 16, 59, -38, 0, -42, -29, 75, -146, 0, -32, -140, 110, 3, 0, 82, -22, 8, -206, 0, -78, -24, 83, -20, 0, -44, -14, -83, -70, 0, -102, -61, -91, -4, 0, 76, 44, 159, 286, 0, 22, 26, 134, -12, 0, 115, 123, -10, -141, 0, -176, 92, 115, 44, 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], [-1.5517215506528172, 0.0], [-1.436948811656122, 0.0], [1.4078397707603834, 0.0], [0.0, 0.0], [2.2297444382317604, 0.0], [1.1555323437851759, 0.0], [-0.6328537615021915, 0.0], [1.064821887319941, 0.0], [0.0, 0.0], [-1.6166432574236125, 0.0], [-2.02299368559636, 0.0], [-1.275519394269983, 0.0], [-1.7930644403278173, 0.0], [0.0, 0.0], [-0.4258269506257346, 0.0], [0.24253562503633297, 0.0], [-1.6523070701611584, 0.0], [1.0491759138338939, 0.0], [0.0, 0.0], [-1.6604408282323218, 0.0], [2.5085801822617895, 0.0], [0.26007933589296595, 0.0], [0.909378460542681, 0.0], [0.0, 0.0], [1.9792509323643601, 0.0], [-0.09314573395369655, 0.0], [1.6268043899807303, 0.0], [-1.1012071461134367, 0.0], [0.0, 0.0], [1.7683576197315678, 0.0], [1.293618617636917, 0.0], [2.323033607626742, 0.0], [-0.3763477561699288, 0.0], [0.0, 0.0], [1.4990986017451449, 0.0], [0.691233768291506, 0.0], [-1.6280288759219161, 0.0], [1.8328560778405887, 0.0], [0.0, 0.0], [0.06316993110405986, 0.0], [2.5765418167519063, 0.0], [-0.8786075663223787, 0.0], [-2.275974672932578, 0.0], [0.0, 0.0], [-0.40357071038458797, 0.0], [-0.4896585930714549, 0.0], [0.6118915306727994, 0.0], [0.3352549975336617, 0.0], [0.0, 0.0], [-0.3485112781802335, 0.0], [-1.795726931629476, 0.0], [0.6614844576194567, 0.0], [0.14453624272732477, 0.0], [0.0, 0.0], [-0.731282990301892, 0.0], [-1.5076120826018395, 0.0], [1.7087668603571053, 0.0], [1.6584962999834687, 0.0], [0.0, 0.0], [0.637333876109461, 0.0], [-2.743998627798593, 0.0], [1.230436131168566, 0.0], [-1.581508936687176, 0.0], [0.0, 0.0], [-3.6047013118451763, 0.0], [0.8343269289855766, 0.0], [0.3414512987523773, 0.0], [-0.3737206926477108, 0.0], [0.0, 0.0], [1.417109381410985, 0.0], [-0.6738765367202875, 0.0], [1.2743005019103655, 0.0], [-1.0726023347968856, 0.0], [0.0, 0.0], [1.4770715780192247, 0.0], [-1.8680835723152083, 0.0], [-2.844082275230239, 0.0], [1.8804608609898104, 0.0], [0.0, 0.0], [-0.9309762356043396, 0.0], [-0.0980221434474234, 0.0], [0.45162531413579465, 0.0], [-2.337634634979773, 0.0], [0.0, 0.0], [1.3633542952290594, 0.0], [1.5823782999949323, 0.0], [1.023098766467689, 0.0], [-1.1039054041112701, 0.0], [0.0, 0.0], [-1.4739039152042412, 0.0], [0.3661500326230659, 0.0], [-2.541039380256325, 0.0], [0.7598137913313148, 0.0], [0.0, 0.0], [-1.8588637353496031, 0.0], [-0.2309332658260667, 0.0], [-0.52022240463704, 0.0], [-1.7214371244928686, 0.0], [0.0, 0.0], [0.8084326549773521, 0.0], [0.5407924609978272, 0.0], [-0.5081398398683559, 0.0], [0.8072172465327556, 0.0], [0.0, 0.0], [-1.026439688310001, 0.0], [0.5423597221075014, 0.0], [-0.1311342687366798, 0.0], [-0.3813661560795696, 0.0], [0.0, 0.0], [-0.9932675419230627, 0.0], [-0.49205681430344944, 0.0], [-0.08595690407433254, 0.0], [2.3393941585978495, 0.0], [0.0, 0.0], [-1.5503232161440368, 0.0], [-1.3582009687197516, 0.0], [-2.573524450362308, 0.0], [0.2802577592496364, 0.0], [0.0, 0.0], [1.6135354217732285, 0.0], [-0.9889647105201432, 0.0], [-0.09077195743237791, 0.0], [2.4895641859852677, 0.0], [0.0, 0.0], [-1.9092942614361403, 0.0], [0.7466415332404511, 0.0], [1.1604428819705959, 0.0], [1.2625140983390195, 0.0], [0.0, 0.0], [-0.11770835519155023, 0.0], [3.270459101629899, 0.0], [1.212356702755433, 0.0], [-1.2946430759969019, 0.0], [0.0, 0.0], [-0.15348958260252843, 0.0], [1.0734983932366944, 0.0], [0.5799104527063507, 0.0], [-0.8337904936585383, 0.0], [0.0, 0.0], [0.7036143334312357, 0.0], [-2.1989591667677084, 0.0], [2.0620598284596183, 0.0], [-0.45342985723699014, 0.0], [0.0, 0.0], [-1.9773595508220154, 0.0], [-0.48174427030777134, 0.0], [0.9731463898933497, 0.0], [-0.7397687380667445, 0.0], [0.0, 0.0], [-0.486300761735409, 0.0], [-0.6639749235472788, 0.0], [0.25825724199350963, 0.0], [2.898745537582009, 0.0], [0.0, 0.0], [2.5803676804638696, 0.0], [-0.6951350738345994, 0.0], [-2.91795164315704, 0.0], [-0.9505193053052727, 0.0], [0.0, 0.0], [0.30053008457449093, 0.0], [1.4446158879328883, 0.0], [0.06677359904554446, 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-0.05530474924760421, -0.21374813913116336, -0.34305855526242923, -0.26841816789902473, -0.1837721458082079, -0.29088466815819164, -0.20629309022695702, -0.28053514035401816, -0.2568423406601967, -0.18910954464651375, -0.25937234928502306, -0.15982606789313042, -0.3184409056369819, -0.3103013505573569, -0.2890904258221373, -0.3064961299648607, -0.2446853381534765, -0.2418605359556727, -0.29599392701585364, -0.14805586458932685, -0.317116405079221, -0.20025846891341184, -0.13122667955038603, -0.18730013424741493, -0.32462105241027733, -0.06912826621201627, -0.3669934286445896, -0.17728741274365092, -0.19627294846071805, -0.27682521164718193, -0.3211505019665833, -0.2712125269308391, -0.28914513957087834, -0.347676378956195, -0.3481872150213325, -0.17558354521455688, -0.3820716962216512, -0.2780917007487931, -0.2530949558301822, -0.22805475813254794, -0.2338791485429491, -0.34535983196388653, -0.11649394822642019, -0.36251571000575283, -0.20029076587191597, -0.2006455328172102, 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-0.2818753912098321, -0.31219082637509393, -0.4034130255559214, -0.1333277778215781, -0.20014489971424707, -0.3045958835361247, -0.24040098372022017, -0.15377532613138017, -0.23756540943531065], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': -2.488868349664125, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797052518825, 'label': '425.2.a.i.1.2', 'level': 425, '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

  
  {'ALdims': [3, 9, 9, 5], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3], 'ALdims_old': [4, 3, 4, 2], 'Nk2': 1700, 'analytic_conductor': 3.3936420859044163, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [425, 1, [52, 326], [1, 1]], 'conrey_index': 1, 'cusp_dim': 39, 'dim': 26, 'eis_dim': 11, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 3], 'hecke_orbit_code': 33554857, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 4, 4, 5, 5], 'label': '425.2.a', 'level': 425, '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': [5, 17], 'level_radical': 85, 'mf_dim': 50, 'mf_new_dim': 26, 'num_forms': 10, 'plus_dim': 8, 'prim_orbit_index': 1, 'relative_dim': 26, 'sturm_bound': 90, 'trace_bound': 3, 'trace_display': [2, 0, 0, 4], 'traces': [26, 2, 0, 30, 0, 0, 4, 6, 22, 0, -4, -4, 8, -16, 0, 38, 2, -2, 8, 0, 4, -8, 0, -36, 0, -16, 12, 16, -8, 0, 8, -6, -28, -2, 0, 26, 12, -8, 8, 0, -24, -4, -4, 20, 0, 0, -20, 24, 22, 0, -4, -8, -20, -40, 0, -44, 0, 4, 8, 0, 12, -4, 24, 54, 0, -48, 20, 6, 8, 0, 36, 2, 32, -48, 0, -16, -4, -36, 40, 0, -30, 0, -20, -68, 0, -24, 8, -28, 4, 0, 48, 12, 28, -48, 0, -152, -4, 38, -24, 0, 8, -8, -28, -96, 0, -24, -32, -60, 0, 0, 56, 4, 32, -92, 0, -40, 32, -64, -8, 0, -6, -32, -24, 36, 0, -28, 4, -10, 36, 0, -80, -4, 16, 40, 0, -18, 0, -52, -28, 0, -8, 40, 28, 42, 0, 96, -20, 60, -16, 0, 64, 32, 10, 48, 0, 100, 12, 84, 64, 0, -48, 6, -36, -24, 0, -56, 12, 12, 26, 0, 24, 44, -36, 56, 0, 84, -56, 8, 72, 0, -48, -4, 72, -16, 0, 172, -4, -12, 20, 0, 40, -36, -24, 4, 0, 66, -4, 84, 76, 0, -64, -32, -48, 8, 0, 168, 76, -40, -72, 0, 72, -60, -44, 100, 0, -140, -44, 24, -96, 0, -12, 8, -20, 104, 0, -212, 4, 32, -64, 0, 24, -28, 12, -84, 0, 8, -4, 20, -24, 0, -28, 78, 136, 36, 0, 80, -8, -48, -112, 0, 0, -44, 12, 72, 0, 166, -16, -4, 32, 0, -76, 12, 52, -96, 0, 36, -52, 60, -44, 0, 112, -2, -24, 16, 0, 152, 8, -64, 124, 0, -64, 28, 4, 216, 0, -32, 64, -90, 26, 0, 64, -24, -84, -12, 0, -192, -48, -12, -84, 0, 44, 40, 4, 56, 0, -34, 76, -60, -40, 0, 4, 44, 24, -16, 0, 220, 56, 40, 144, 0, -52, 68, 8, -90, 0, 52, -40, 96, -120, 0, 32, 44, -108, 80, 0, -300, -12, -10, 80, 0, -112, 16, -52, -248, 0, -56, -36, 32, 24, 0, 12, -8, 76, 324, 0, 28, 0, -24, 56, 0, 2, -100, -28, -68, 0, -40, 52, -8, -156, 0, 12, -60, -40, 0, 0, 48, 8, -64, -72, 0, -28, 48, 12, -340, 0, -40, -84, 36, -196, 0, 20, -38, -44, 148, 0, -120, -24, 20, 16, 0, -128, -68, 92, -112, 0, 32, -32, 20, -104, 0, -136, -4, 8, 40, 0, -296, 52, -64, -20, 0, -64, -28, -28, -88, 0, -52, -16, 44, -104, 0, 104, 84, 40, -100, 0, -40, -16, 32, -36, 0, -34, -12, -28, 216, 0, 216, 8, -48, 32, 0, -104, 8, 72, -76, 0, -204, 16, -96, -16, 0, -60, -76, 36, 168, 0, 112, -52, 0, -32, 0, 104, -8, 4, 236, 0, -36, 44, -40, -196, 0, -60, 72, -28, -18, 0, 144, -52, 8, 52, 0, -88, 96, -4, 200, 0, 48, 60, 84, 80, 0, -16, -16, -4, 44, 0, 88, -8, -28, 112, 0, 128, -54, -80, -88, 0, 372, -92, 96, 8, 0, -204, -12, 20, -20, 0, -88, 16, 28, -134, 0, -88, 16, -80, -100, 0, 352, 72, -8, -128, 0, -80, 24, -32, -18, 0, -140, 96, -32, -28, 0, -144, 92, -12, 168, 0, -208, -80, 64, 104, 0, 8, -60, 4, 120, 0, 16, -24, -12, 68, 0, 0, 100, 8, -264, 0, 290, -24, 2, -120, 0, 152, 0, 48, 56, 0, -20, -76, 40, 84, 0, 56, -28, -60, -152, 0, -24, 52, 44, 120, 0, 164, 68, 28, 312, 0, 164, 0, 24, -20, 0, 184, -26, 36, 224, 0, -112, -56, 4, -44, 0, 160, -48, -52, 288, 0, 264, 40, -44, -24, 0, 72, -112, -52, -88, 0, 300, -32, -40, 232, 0, -128, 108, 56, -248, 0, -48, 36, 42, -40, 0, -236, 0, 60, -248, 0, -144, -24, -44, -8, 0, 40, 40, -4, -32, 0, -28, -40, 32, 184, 0, -64, 44, -24, -236, 0, 38, 72, -40, 208, 0, 76, 92, 8, 312, 0, -352, -4, -44, -116, 0, 252, 12, 100, -152, 0, 40, 0, 68, -152, 0, 116, 8, 80, 252, 0, -240, -28, 40, 164, 0, 152, -112, 68, 72, 0, 192, 168, 0, 196, 0, 8, -54, 56, -208, 0, 212, -28, -52, -14, 0, -24, -64, 12, 332, 0, -136, -12, -48, 8, 0, 292, -128, 56, 100, 0, 16, -132, -8, -4, 0, 108, 84, -128, -484, 0, 20, -80, 52, -4, 0, -72, -108, -32, -144, 0, -248, 24, -8, 104, 0, -100, 0, 64, 32, 0, 148, 8, -88, 136, 0, -152, 16, -120, -262, 0, -20, 36, -20, 216, 0, 32, -8, 56, -212, 0, 100, 116, 40, -24, 0, -116, -68, 8, -112, 0, -76, 24, -24, -132, 0, -44, 40, -32, -152, 0, 180, 88, 52, -160, 0, 140, -4, 16, 360, 0, -420, 160, -24, 56, 0, 72, 24, -14, 148, 0, -456, 16, 12, 228, 0, -162, 32, 24, 276, 0, -168, 128, 20, -8, 0, 192, -4, 4, -192, 0, 144, -88, -72, -32, 0, -20, 28, -68, -320, 0, 100, 0, -20, 240, 0, -24, -16, -4, -328, 0, -536, 0, -88, 40, 0, -80, -54, -20, -36, 0, -424, 72, 16, 44, 0, -72, 60, 8, 236, 0, 356, -88, -32, -8, 0, 20, -200, 0, -612, 0, 88, -132, -120, 76, 0, -108, -64, -116, 96, 0, -576, -52, -12, 56, 0, 0, -108, -4, -216, 0, 24, -20, 116, -48, 0, 128, 36, 100, -472, 0, -20, 12, 164, -240, 0, 128, -8, -88, -392, 0, -248, -12, -108, -212, 0, -104, -8, 88, -548, 0, -144, 112, -28, -136, 0, 286, -112, -180, -468, 0, -252, -12, 50, 4, 0, -40, -68, 44, 0, 0, -276, -140, 12, 112, 0, 12, 80, -108, 560, 0, 0, 152, 8, -48, 0, 300, 76, 80, -60, 0, -288, -52, -52, 16, 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: 46446325
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36028797052518825, 'target_is_minimal': True, 'target_label': '425.2.a.i.1.2', 'target_level': 425, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 46446326
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 189151184383119089, 'target_is_minimal': False, 'target_label': '3825.2.a.bq.1.4', 'target_level': 3825, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46446327
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 5, 'target_hecke_orbit_code': 229683581029456528, 'target_is_minimal': False, 'target_label': '6800.2.a.bz.1.5', 'target_level': 6800, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446328
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 324, 'target_dim': 10, 'target_embedding_index': 3, 'target_hecke_orbit_code': 22518066889884073, 'target_is_minimal': False, 'target_label': '425.2.b.f.324.3', 'target_level': 425, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 46446329
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 324, 'target_dim': 10, 'target_embedding_index': 8, 'target_hecke_orbit_code': 22518066889884073, 'target_is_minimal': False, 'target_label': '425.2.b.f.324.8', 'target_level': 425, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 46446330
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 40532396679889321, 'target_is_minimal': True, 'target_label': '425.2.a.j.1.4', 'target_level': 425, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 46446331
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 166633186246266609, 'target_is_minimal': False, 'target_label': '3825.2.a.bl.1.2', 'target_level': 3825, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 46446332
    {'conductor': 17, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103582791463083065, 'target_is_minimal': False, 'target_label': '7225.2.a.x.1.2', 'target_level': 7225, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '17.16', 'twisting_conrey_index': 16, 'weight': 2}
  • id: 46446333
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 1, 'target_hecke_orbit_code': 247697979538938512, 'target_is_minimal': False, 'target_label': '6800.2.a.cd.1.1', 'target_level': 6800, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 46446334
    {'conductor': 85, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 5, 'source_embedding_index': 2, 'source_hecke_orbit_code': 36028797052518825, 'source_is_minimal': True, 'source_label': '425.2.a.i.1.2', 'source_level': 425, 'target_conrey_index': 1, 'target_dim': 5, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391090453561, 'target_is_minimal': False, 'target_label': '7225.2.a.y.1.4', 'target_level': 7225, 'twist_class_label': '425.2.a.i.1.2', 'twist_class_level': 425, 'twisting_char_label': '85.84', 'twisting_conrey_index': 84, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 866900
    {'charpoly_factorization': [[[-3, 21, -6, -10, 1, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 2}
  • id: 866901
    {'charpoly_factorization': [[[-25, 23, 10, -10, -1, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 3}
  • id: 866902
    {'charpoly_factorization': [[[0, 1], 5]], 'hecke_orbit_code': 36028797052518825, 'p': 5}
  • id: 866903
    {'charpoly_factorization': [[[97, 109, 2, -22, -1, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 7}
  • id: 866904
    {'charpoly_factorization': [[[60, -156, 120, -22, -4, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 11}
  • id: 866905
    {'charpoly_factorization': [[[227, 177, -58, -26, 3, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 13}
  • id: 866906
    {'charpoly_factorization': [[[-1, 1], 5]], 'hecke_orbit_code': 36028797052518825, 'p': 17}
  • id: 866907
    {'charpoly_factorization': [[[400, -672, 304, -32, -6, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 19}
  • id: 866908
    {'charpoly_factorization': [[[108, -324, 252, -46, -4, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 23}
  • id: 866909
    {'charpoly_factorization': [[[240, 1344, 48, -76, -2, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 29}
  • id: 866910
    {'charpoly_factorization': [[[2151, -2985, 358, 102, -21, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 31}
  • id: 866911
    {'charpoly_factorization': [[[3824, 1120, -256, -80, 2, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 37}
  • id: 866912
    {'charpoly_factorization': [[[48, -48, -168, -20, 8, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 41}
  • id: 866913
    {'charpoly_factorization': [[[14704, 3872, -496, -136, 4, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 43}
  • id: 866914
    {'charpoly_factorization': [[[480, -528, -480, -88, 2, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 47}
  • id: 866915
    {'charpoly_factorization': [[[-9, 405, -450, 154, -21, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 53}
  • id: 866916
    {'charpoly_factorization': [[[-11760, 2016, 1272, -116, -12, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 59}
  • id: 866917
    {'charpoly_factorization': [[[800, 368, -80, -40, 2, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 61}
  • id: 866918
    {'charpoly_factorization': [[[27008, 7872, -1408, -176, 12, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 67}
  • id: 866919
    {'charpoly_factorization': [[[11853, -12735, 2490, -18, -21, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 71}
  • id: 866920
    {'charpoly_factorization': [[[-41744, -13520, 3608, -64, -22, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 73}
  • id: 866921
    {'charpoly_factorization': [[[42575, -11333, -1448, 524, -41, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 79}
  • id: 866922
    {'charpoly_factorization': [[[5952, 768, -480, -64, 8, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 83}
  • id: 866923
    {'charpoly_factorization': [[[-18000, 11520, -1224, -244, 10, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 89}
  • id: 866924
    {'charpoly_factorization': [[[-8000, -5600, -880, 56, 20, 1], 1]], 'hecke_orbit_code': 36028797052518825, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 9, 'label': '425.2.a.i', 'level': 425, '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: 50289595
    {'hecke_orbit_code': 36028797052518825, 'n': 1, 'trace_an': 5}
  • id: 50289596
    {'hecke_orbit_code': 36028797052518825, 'n': 2, 'trace_an': -1}
  • id: 50289597
    {'hecke_orbit_code': 36028797052518825, 'n': 3, 'trace_an': 1}
  • id: 50289598
    {'hecke_orbit_code': 36028797052518825, 'n': 4, 'trace_an': 11}
  • id: 50289599
    {'hecke_orbit_code': 36028797052518825, 'n': 5, 'trace_an': 0}
  • id: 50289600
    {'hecke_orbit_code': 36028797052518825, 'n': 6, 'trace_an': 3}
  • id: 50289601
    {'hecke_orbit_code': 36028797052518825, 'n': 7, 'trace_an': 1}
  • id: 50289602
    {'hecke_orbit_code': 36028797052518825, 'n': 8, 'trace_an': -9}
  • id: 50289603
    {'hecke_orbit_code': 36028797052518825, 'n': 9, 'trace_an': 6}
  • id: 50289604
    {'hecke_orbit_code': 36028797052518825, 'n': 10, 'trace_an': 0}
  • id: 50289605
    {'hecke_orbit_code': 36028797052518825, 'n': 11, 'trace_an': 4}
  • id: 50289606
    {'hecke_orbit_code': 36028797052518825, 'n': 12, 'trace_an': 17}
  • id: 50289607
    {'hecke_orbit_code': 36028797052518825, 'n': 13, 'trace_an': -3}
  • id: 50289608
    {'hecke_orbit_code': 36028797052518825, 'n': 14, 'trace_an': -7}
  • id: 50289609
    {'hecke_orbit_code': 36028797052518825, 'n': 15, 'trace_an': 0}
  • id: 50289610
    {'hecke_orbit_code': 36028797052518825, 'n': 16, 'trace_an': 27}
  • id: 50289611
    {'hecke_orbit_code': 36028797052518825, 'n': 17, 'trace_an': 5}
  • id: 50289612
    {'hecke_orbit_code': 36028797052518825, 'n': 18, 'trace_an': -22}
  • id: 50289613
    {'hecke_orbit_code': 36028797052518825, 'n': 19, 'trace_an': 6}
  • id: 50289614
    {'hecke_orbit_code': 36028797052518825, 'n': 20, 'trace_an': 0}
  • id: 50289615
    {'hecke_orbit_code': 36028797052518825, 'n': 21, 'trace_an': -5}
  • id: 50289616
    {'hecke_orbit_code': 36028797052518825, 'n': 22, 'trace_an': 18}
  • id: 50289617
    {'hecke_orbit_code': 36028797052518825, 'n': 23, 'trace_an': 4}
  • id: 50289618
    {'hecke_orbit_code': 36028797052518825, 'n': 24, 'trace_an': -19}
  • id: 50289619
    {'hecke_orbit_code': 36028797052518825, 'n': 25, 'trace_an': 0}
  • id: 50289620
    {'hecke_orbit_code': 36028797052518825, 'n': 26, 'trace_an': -5}
  • id: 50289621
    {'hecke_orbit_code': 36028797052518825, 'n': 27, 'trace_an': -5}
  • id: 50289622
    {'hecke_orbit_code': 36028797052518825, 'n': 28, 'trace_an': -15}
  • id: 50289623
    {'hecke_orbit_code': 36028797052518825, 'n': 29, 'trace_an': 2}
  • id: 50289624
    {'hecke_orbit_code': 36028797052518825, 'n': 30, 'trace_an': 0}
  • id: 50289625
    {'hecke_orbit_code': 36028797052518825, 'n': 31, 'trace_an': 21}
  • id: 50289626
    {'hecke_orbit_code': 36028797052518825, 'n': 32, 'trace_an': -9}
  • id: 50289627
    {'hecke_orbit_code': 36028797052518825, 'n': 33, 'trace_an': 12}
  • id: 50289628
    {'hecke_orbit_code': 36028797052518825, 'n': 34, 'trace_an': -1}
  • id: 50289629
    {'hecke_orbit_code': 36028797052518825, 'n': 35, 'trace_an': 0}
  • id: 50289630
    {'hecke_orbit_code': 36028797052518825, 'n': 36, 'trace_an': 22}
  • id: 50289631
    {'hecke_orbit_code': 36028797052518825, 'n': 37, 'trace_an': -2}
  • id: 50289632
    {'hecke_orbit_code': 36028797052518825, 'n': 38, 'trace_an': -34}
  • id: 50289633
    {'hecke_orbit_code': 36028797052518825, 'n': 39, 'trace_an': 23}
  • id: 50289634
    {'hecke_orbit_code': 36028797052518825, 'n': 40, 'trace_an': 0}
  • id: 50289635
    {'hecke_orbit_code': 36028797052518825, 'n': 41, 'trace_an': -8}
  • id: 50289636
    {'hecke_orbit_code': 36028797052518825, 'n': 42, 'trace_an': 25}
  • id: 50289637
    {'hecke_orbit_code': 36028797052518825, 'n': 43, 'trace_an': -4}
  • id: 50289638
    {'hecke_orbit_code': 36028797052518825, 'n': 44, 'trace_an': -4}
  • id: 50289639
    {'hecke_orbit_code': 36028797052518825, 'n': 45, 'trace_an': 0}
  • id: 50289640
    {'hecke_orbit_code': 36028797052518825, 'n': 46, 'trace_an': -6}
  • id: 50289641
    {'hecke_orbit_code': 36028797052518825, 'n': 47, 'trace_an': -2}
  • id: 50289642
    {'hecke_orbit_code': 36028797052518825, 'n': 48, 'trace_an': 51}
  • id: 50289643
    {'hecke_orbit_code': 36028797052518825, 'n': 49, 'trace_an': 10}
  • id: 50289644
    {'hecke_orbit_code': 36028797052518825, 'n': 50, 'trace_an': 0}
  • id: 50289645
    {'hecke_orbit_code': 36028797052518825, 'n': 51, 'trace_an': 1}
  • id: 50289646
    {'hecke_orbit_code': 36028797052518825, 'n': 52, 'trace_an': -13}
  • id: 50289647
    {'hecke_orbit_code': 36028797052518825, 'n': 53, 'trace_an': 21}
  • id: 50289648
    {'hecke_orbit_code': 36028797052518825, 'n': 54, 'trace_an': -25}
  • id: 50289649
    {'hecke_orbit_code': 36028797052518825, 'n': 55, 'trace_an': 0}
  • id: 50289650
    {'hecke_orbit_code': 36028797052518825, 'n': 56, 'trace_an': -29}
  • id: 50289651
    {'hecke_orbit_code': 36028797052518825, 'n': 57, 'trace_an': -20}
  • id: 50289652
    {'hecke_orbit_code': 36028797052518825, 'n': 58, 'trace_an': 22}
  • id: 50289653
    {'hecke_orbit_code': 36028797052518825, 'n': 59, 'trace_an': 12}
  • id: 50289654
    {'hecke_orbit_code': 36028797052518825, 'n': 60, 'trace_an': 0}
  • id: 50289655
    {'hecke_orbit_code': 36028797052518825, 'n': 61, 'trace_an': -2}
  • id: 50289656
    {'hecke_orbit_code': 36028797052518825, 'n': 62, 'trace_an': 3}
  • id: 50289657
    {'hecke_orbit_code': 36028797052518825, 'n': 63, 'trace_an': 8}
  • id: 50289658
    {'hecke_orbit_code': 36028797052518825, 'n': 64, 'trace_an': 43}
  • id: 50289659
    {'hecke_orbit_code': 36028797052518825, 'n': 65, 'trace_an': 0}
  • id: 50289660
    {'hecke_orbit_code': 36028797052518825, 'n': 66, 'trace_an': -28}
  • id: 50289661
    {'hecke_orbit_code': 36028797052518825, 'n': 67, 'trace_an': -12}
  • id: 50289662
    {'hecke_orbit_code': 36028797052518825, 'n': 68, 'trace_an': 11}
  • id: 50289663
    {'hecke_orbit_code': 36028797052518825, 'n': 69, 'trace_an': 0}
  • id: 50289664
    {'hecke_orbit_code': 36028797052518825, 'n': 70, 'trace_an': 0}
  • id: 50289665
    {'hecke_orbit_code': 36028797052518825, 'n': 71, 'trace_an': 21}
  • id: 50289666
    {'hecke_orbit_code': 36028797052518825, 'n': 72, 'trace_an': -58}
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  • id: 50289713
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  • id: 50289716
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  • id: 50289719
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  • id: 50289722
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  • id: 50289725
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  • id: 50289726
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  • id: 50289727
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  • id: 50289728
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  • id: 50289729
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  • id: 50289734
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  • id: 50289735
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  • id: 50289737
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  • id: 50289738
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  • id: 50289739
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  • id: 50289740
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  • id: 50289741
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  • id: 50289742
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  • id: 50289743
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  • id: 50289744
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  • id: 50289745
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  • id: 50289746
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  • id: 50289747
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  • id: 50289748
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  • id: 50289749
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  • id: 50289750
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  • id: 50289759
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  • id: 50289760
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  • id: 50289761
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  • id: 50289763
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  • id: 50289764
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  • id: 50289765
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  • id: 50289766
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  • id: 50289767
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  • id: 50289770
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  • id: 50289771
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  • id: 50289772
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  • id: 50289773
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  • id: 50289774
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  • id: 50289775
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  • id: 50289776
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  • id: 50289777
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  • id: 50289779
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  • id: 50289780
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  • id: 50289781
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  • id: 50289786
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  • id: 50289787
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  • id: 50289788
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  • id: 50289789
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  • id: 50289791
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  • id: 50289792
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  • id: 50289795
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  • id: 50289796
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  • id: 50289797
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  • id: 50289798
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  • id: 50289799
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  • id: 50289800
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  • id: 50289802
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  • id: 50289804
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  • id: 50289806
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  • id: 50289807
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  • id: 50289808
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  • id: 50289809
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  • id: 50289810
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  • id: 50289811
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  • id: 50289812
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  • id: 50289813
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  • id: 50289814
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  • id: 50289815
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  • id: 50289816
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  • id: 50289817
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  • id: 50289818
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  • id: 50289819
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  • id: 50289820
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  • id: 50289821
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  • id: 50289822
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  • id: 50289823
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  • id: 50289824
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  • id: 50289825
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  • id: 50289826
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  • id: 50289827
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  • id: 50289828
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  • id: 50289829
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  • id: 50289830
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  • id: 50289831
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  • id: 50289832
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  • id: 50289833
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  • id: 50289834
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  • id: 50289835
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  • id: 50289837
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  • id: 50289838
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  • id: 50289839
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  • id: 50289840
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  • id: 50289841
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  • id: 50289844
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  • id: 50289845
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  • id: 50289846
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  • id: 50289847
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  • id: 50289849
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  • id: 50289852
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