Embedded newform data - 403.2.a.b.1.1

Formats: - HTML - YAML - JSON - 2024-06-03T22:10:07.749623

• 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': 1612, 'analytic_conductor': 3.2179712014575994, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[13, -1], [31, -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': [403, 1, [249, 313], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 6, 'field_disc': 5748973, 'field_disc_factorization': [[5748973, 1]], 'field_poly': [-1, -4, 8, 4, -6, -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, 7, 6, -13, -7, 2, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925331, 'hecke_ring_generator_nbound': 2, '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': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '403.2.a.b', 'level': 403, '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': True, 'level_primes': [13, 31], 'level_radical': 403, 'minimal_twist': '403.2.a.b', 'nf_label': '6.6.5748973.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{4}q^{2}+(-1+\\beta _{1})q^{3}+(1-\\beta _{1}-\\beta _{2}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '403.2.a', 'trace_display': [-2, -5, -9, 0], 'trace_hash': 2010302337877977161, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.623', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '93.686', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2604.262', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, 'traces': [6, -2, -5, 6, -9, 0, 0, -3, -1, -8, -5, -13, 6, -17, 4, 14, -23, 9, 7, -10, 2, 2, -18, -13, 11, -2, -5, -25, -18, 25, 6, 2, -2, -16, -1, -2, -13, -8, -5, -29, -5, 31, -7, 30, -5, 19, -9, -19, 16, 29, 26, 6, -31, -4, 7, 8, -5, 35, -1, 33, -15, -2, 11, -5, -9, -29, -28, -12, 5, 73, 1, 45, -20, 4, 1, 38, -29, 0, -15, 7, 2, 36, 1, 68, 29, 3, 10, 9, -1, -32, 0, -60, -5, 54, -13, 36, -5, 20, -15, 44, -10, 21, 34, -3, -35, 8, 17, 42, 16, -7, 55, -55, -20, 26, 48, -38, -1, -12, 35, 74, -5, -17, 10, 6, -42, -37, -12, -40, -41, -8, 1, -25, -18, -6, 33, -5, -9, 12, 9, 52, 8, 7, -5, -5, 33, 26, -75, -22, 24, -83, -14, -54, -7, -21, -9, -13, -37, 24, 48, -50, 5, -37, 20, -58, 38, -10, -5, -4, 6, 85, 20, -20, -71, -37, -38, -5, 1, -21, -24, -31, -26, -17, 49, 25, -21, 0, 19, 1, -56, -95, -30, -11, 26, 12, 4, 45, -12, 50, 2, 62, 54, -33, -39, 71, -28, 44, 27, 14, -49, -117, 17, -101, -10, 12, 53, -44, 0, -14, 42, -84, -23, -36, -12, 12, -2, 60, 24, -87, -46, 19, 79, 41, -13, 9, 5, 33, -7, 79, 52, 14, 42, 33, 30, -77, -60, 1, 7, -3, 29, -38, -34, -81, -14, -16, -50, -48, 33, 26, 6, -10, -1, 1, 36, 26, 58, 51, 33, -28, -4, -39, 38, -83, 2, -122, 21, 82, 2, -61, -1, 103, 26, -56, -11, -58, -23, 2, 14, -54, 39, -7, 2, -1, -76, -59, 39, 4, 61, -39, -18, -115, 16, 3, -17, 106, 82, -14, -12, -12, -57, -8, 62, -13, -65, -20, 67, 25, -37, 43, 37, 63, -21, 60, -13, -45, 11, 99, -76, 44, -104, 85, 46, -30, -82, 46, 73, 68, 28, -2, 89, 76, -5, 22, 18, 41, -4, -36, -69, 34, -51, -149, -5, 2, 1, -19, -50, 33, -39, -61, 74, -41, 89, -12, 39, -25, -4, 54, 40, -39, 60, 109, 41, -13, 61, -45, 50, 7, -18, 45, 40, 108, -11, -93, -38, 16, 50, 82, 79, 93, -80, 25, 22, 156, 76, -12, -14, 25, 57, -2, 27, -4, 54, 62, 6, 23, 32, 11, 43, 94, -15, -61, -1, 6, -47, -104, 32, 2, -11, -5, 13, -169, 32, 48, 4, -11, -37, -42, 10, 68, -2, -20, 9, 60, -26, -17, 35, -39, -61, -34, -55, -87, 123, -16, 83, 39, -82, 28, -47, 32, 34, 110, -102, -55, -103, -91, -1, 19, 35, 140, 5, 55, -14, 7, 68, -39, 4, -53, 57, -2, -31, -151, 10, -40, -5, -94, 44, 150, -10, -34, 27, -25, -13, -93, -85, -112, -25, 62, -13, -95, -79, -88, -2, 7, 5, -8, -15, 14, 102, 36, -66, -149, 54, 63, -67, -20, 72, 27, -5, -56, -45, -149, -49, 20, -5, -7, -34, 60, 9, 3, 118, -29, -1, -44, -39, 30, 178, 42, -23, -54, 2, 107, -69, -167, -5, -32, -94, -125, 28, -11, 18, -12, 2, -41, 8, -8, 66, 31, -60, 129, -98, 16, -109, -4, -22, -46, -61, 109, -12, 9, -7, 85, 32, 1, -6, -98, -66, 37, 68, 160, 11, 53, -26, 30, 32, 8, -114, 26, -35, 161, -6, -61, -13, -109, -44, -11, -5, -35, 9, -48, 7, 33, -131, -118, 10, 3, -102, 105, -28, 19, 63, -134, -54, 9, -41, 31, -61, 95, -56, -119, 40, 146, -9, -83, 37, 164, -16, -95, 79, -25, 22, -10, -7, -169, 60, -19, 32, -7, -71, 120, 91, 60, -11, 118, 50, -58, 38, 149, 16, 33, 32, 113, -10, -84, -75, 88, 63, 39, -90, -36, 101, 29, 2, -48, -50, 49, -81, -8, -28, 18, -16, 52, 41, -72, 26, -89, 52, 52, 114, 2, -46, -10, 8, 63, -38, -102, -24, 6, -96, -87, -84, 153, -85, 2, 36, -47, 48, -124, -2, 8, -31, -135, -54, -55, -135, 135, 71, -13, -14, 140, 21, -142, 10, -4, -99, -41, 49, -48, 8, -10, -53, 164, 3, 39, -18, -213, 7, 35, 31, -80, -39, -100, -71, -113, 35, -55, -41, 33, -10, 8, -52, -40, -17, 132, 37, 57, 193, -17, -39, -90, 52, -44, -5, 155, -68, -13, 19, -114, -67, -122, -11, 125, 91, 83, 34, 35, 80, -41, -60, 81, 66, -60, 43, 6, 45, 16, 101, -63, -1, 143, 18, 144, -27, -70, -129, -97, 11, 40, 105, 51, 123, 33, 20, 59, 39, -19, 90, -19, 12, 113, 5, 33, -48, -41, -15, -71, -108, -11, -133, 20, -59, 109, -34, -23, 12, 14, 19, -2, -27, -93, -120, 173, 60, 68, 59, -93, -78, 80, -45, 8, 11, 74, 32, 105, -13, 21, -158, 12, 18, 44, 42, 37, 29, -5, -76, 33, -58, 106, -5, 85, -70, -204, -14, 117, -68, -73, -9, 2, 78, -102, -79, -228, -37, 145, -91, 177, -36, 89, 29, -29, 44, 11, -58, 106, -14, -59, 164, 90, -63, -25, 126, -15, -28, 42, -61, 9, 172, -44, -21, -46, 43, 36, 18, 25, -31, -12, 18, -6, 23, 71, 85, 104, 6, 142, 63, 60, 78, 119, 5, 130, -18, 117, 112, 21, -151, 30, 98, 43, -25, 12, 54, 73, 93, -76, -20, -90, -137, -57, -29, -1, -36, 129, 45, -35, 1, 59, 92, -40, 65, 48, -59, 25, -27, -103, -89, -194, -24, 45, 14, 265, 8, -45, 61, 33, 61, 16, 56, 92, -20, 9, -20, 206, 88, 59, -24, -135, 56, 84, -13, 70, 86, -61, 6, 4, 13, 93, -151, -46, -126, 44, 1, -23, 69, 6, -65, 46, 1, -43, 67, -125, 24, -281, 73, -216, 30, -130, 64, -55, 168, 38, 124, -117, -60, 2, 23, -198, -161, 23, -18, 12, 1, 1], '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], [-1.8482888545510157, 0.0], [-0.6858061980394932, 0.0], [2.4161716898575056, 0.0], [0.6510229031901819, 0.0], [1.2675679522184018, 0.0], [-0.7077283978273369, 0.0], [-2.617494350494306, 0.0], [-0.5296698587306155, 0.0], [-1.203278376023858, 0.0], [0.14282363320651784, 0.0], [-1.6570255204318336, 0.0], [0.2773500981126146, 0.0], [1.3080865097535141, 0.0], [-0.4464755420734916, 0.0], [2.4217139450113696, 0.0], [-0.5403647973560198, 0.0], [0.9789828964834075, 0.0], [1.8901421272412846, 0.0], [1.572983108136961, 0.0], [0.48536452175854783, 0.0], [-0.26397932942208924, 0.0], [-1.209933224552343, 0.0], [1.7950938489023525, 0.0], [-0.5761691795218271, 0.0], [-0.5126230951501762, 0.0], [1.049057070071652, 0.0], [-1.7099933189386218, 0.0], [-1.3241321476108343, 0.0], [0.8252157682440577, 0.0], [0.1796053020267749, 0.0], [-1.8585325429809798, 0.0], [-0.0979493328795491, 0.0], [0.9987502323448497, 0.0], [-0.4607473962236888, 0.0], [-1.2797733176357375, 0.0], [-1.1927278619854482, 0.0], [-3.493528627297414, 0.0], [-0.1902084163124926, 0.0], [-1.7040487711427024, 0.0], [-0.9850665794619389, 0.0], [-0.8970938359608079, 0.0], [-0.09534320365418411, 0.0], [0.34508641919618077, 0.0], [-0.34482720916313875, 0.0], [2.2363060936910673, 0.0], [-0.195841385429958, 0.0], [-1.6608264333674696, 0.0], [-0.49912051490875076, 0.0], [1.0649270728459965, 0.0], [0.37058552722911314, 0.0], [0.670125455238901, 0.0], [-1.1715722917140483, 0.0], [-1.9389604904013784, 0.0], [0.0929814563342769, 0.0], [1.8524750829974408, 0.0], [-1.2962711860376253, 0.0], [2.4473786903818056, 0.0], [0.435824778885498, 0.0], [-1.0787615649717541, 0.0], [-0.240501021722303, 0.0], [-0.331962477954357, 0.0], [0.3748624004968504, 0.0], [1.0133910400007322, 0.0], [0.1805612660733561, 0.0], [0.18103866027197796, 0.0], [0.6075453178766252, 0.0], [-1.3056141255672031, 0.0], [0.8297797046119068, 0.0], [0.8515942772036449, 0.0], [-1.9411784289704874, 0.0], [1.386407862854503, 0.0], [-0.3043432082487924, 0.0], [2.204505613820166, 0.0], [0.3951403944353985, 0.0], [4.566907897647435, 0.0], [-0.1010803411011281, 0.0], [0.3515600959121797, 0.0], [-1.0311987486734056, 0.0], [1.57659124317745, 0.0], [-0.1897799820216744, 0.0], [1.820687579810194, 0.0], [0.3000992440584372, 0.0], [1.1727240167342305, 0.0], [-0.35178985915649036, 0.0], [0.17622178067121616, 0.0], [0.9080980338548552, 0.0], [-0.37384005303513135, 0.0], [-0.4289065092535601, 0.0], [0.6373402874421612, 0.0], [-0.1962885405744954, 0.0], [-2.923406403781376, 0.0], [-0.12317442933071737, 0.0], [0.36197144995002106, 0.0], [1.230525815118687, 0.0], [1.2745931372344568, 0.0], [-0.022592004316265794, 0.0], [0.9225188847836081, 0.0], [-0.07564937362388954, 0.0], [-1.3921236601290656, 0.0], [1.2114843509076256, 0.0], [-0.6849490996354818, 0.0], [0.3822692133255284, 0.0], [-0.72596231491881, 0.0], [0.31598342006076396, 0.0], [2.165404009075867, 0.0], [-0.2022195850021185, 0.0], [2.5347019937519875, 0.0], [0.02590503057225647, 0.0], [-0.17185658942256593, 0.0], [0.8179801603240135, 0.0], [-1.713915730299016, 0.0], [-1.2753195328465017, 0.0], [2.395883585628969, 0.0], [-0.7876942405143246, 0.0], [-3.199330608687518, 0.0], [-0.14690398728623089, 0.0], [-0.8055300813512267, 0.0], [0.3824315122750695, 0.0], [1.168647209011247, 0.0], [-0.9796014097976901, 0.0], [0.44451535795746433, 0.0], [0.6755647656765605, 0.0], [0.43395724610540043, 0.0], [-1.0261222351711867, 0.0], [-0.6928539968285676, 0.0], [-0.9299926863077183, 0.0], [-0.014506821554236073, 0.0], [0.06538696000698112, 0.0], [-0.3337293756470045, 0.0], [0.2649692684038161, 0.0], [-0.2366624051439955, 0.0], [-1.3377072593784287, 0.0], [-1.1229192396660204, 0.0], [0.6829601793702329, 0.0], [1.4144018042853823, 0.0], [1.6106415774694238, 0.0], [-1.5336725797668214, 0.0], [1.5594034381853372, 0.0], [-1.113244814931236, 0.0], [0.13430923596050648, 0.0], [3.5878584549610024, 0.0], [0.039612148682627794, 0.0], [-1.2827088831401334, 0.0], 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[0.7449410035704978, 0.0], [0.7947218343783239, 0.0], [-0.3912731651597174, 0.0], [-0.30805519115546387, 0.0], [1.4634254239517088, 0.0], [1.8416061199086429, 0.0], [1.1918647828871305, 0.0], [1.055442944608507, 0.0], [-0.48335031352556557, 0.0], [0.02516863496558521, 0.0], [1.3013600276939061, 0.0], [1.7087226431892053, 0.0], [-0.08440961866771046, 0.0], [2.012863522825966, 0.0], [-0.2586098334488449, 0.0], [-1.0010123228309882, 0.0], [-0.6412300548014246, 0.0], [-1.1469492355819229, 0.0], [0.3922125058352768, 0.0], [3.036544934299135, 0.0], [0.12969786050284585, 0.0], [-2.1663064563880567, 0.0], [-1.1398967830965299, 0.0], [-0.45245431391674634, 0.0], [0.03225806451612903, 0.0], [0.6114198482828326, 0.0], [0.1071096190206358, 0.0], [3.8464260585982433, 0.0], [-0.6054717525602074, 0.0], [1.085423637670091, 0.0], [-0.8575209471821557, 0.0], [2.564101155881711, 0.0], [0.700459316761669, 0.0], [0.027184470264800295, 0.0], [1.138156332889077, 0.0], [-2.2202317202749784, 0.0], 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-0.35169423567023467, -0.33196451053425396, -0.25759004776299704, -0.26560957568633914, -0.3496070751262891, -0.21503764691831379, -0.26918489024409686, -0.2008768350989198, -0.4613046624449103, -0.27431332007425846, -0.3362153511657926, -0.2260283271172422, -0.28439848039338045, -0.25179785281626205, -0.14643814669360578, -0.21939165014703094, -0.2661196689889448, -0.2479384855214251, -0.3600487075011301, -0.3269721816242675, -0.22885224023988035, -0.10099653607705646, -0.10768535224490756, -0.08296462776990046, -0.2171853615070285, -0.12058839203090778, -0.3643475034512749, -0.2900762601612542, -0.24881847494917547, -0.13408562406430244, -0.2462991473182056, -0.20130175629095862, -0.32697566292087904, -0.2030475838265311, -0.40400265037202204, -0.3632606319361115, -0.22167231182564628, -0.14472480657406397, -0.3899620607304485, -0.2735861150902503, -0.14185928598901087, -0.1034792383904374, -0.3838871462130882, -0.07964422122039631, -0.29346503671582086, -0.37763448615360834, 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-0.2190368155849306, -0.1849264433919336, -0.27315306700899317, -0.2672206808380082, -0.2786106673898984, -0.3276701456256829, -0.13483554254551097, -0.3995062046058206, -0.1835113497443694, -0.18925538768307967, -0.11936064011967336, -0.13724196765783375, -0.3019447866802782, -0.320524784371363, -0.15365008754526407, -0.18099325552653064, -0.392080062378159, -0.2514831789806591, -0.3513032009301936], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -0.18785117915004554, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599660925331, 'label': '403.2.a.b.1.1', 'level': 403, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	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': [8, 7, 10, 6], 'Nk2': 1612, 'analytic_conductor': 3.2179712014575994, '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': [403, 1, [249, 313], [1, 1]], 'conrey_index': 1, 'cusp_dim': 35, 'dim': 31, 'eis_dim': 3, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 33554835, 'hecke_orbit_dims': [2, 6, 7, 8, 8], 'label': '403.2.a', 'level': 403, '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': True, 'level_primes': [13, 31], 'level_radical': 403, 'mf_dim': 38, 'mf_new_dim': 31, 'num_forms': 5, 'plus_dim': 14, 'prim_orbit_index': 1, 'relative_dim': 31, 'sturm_bound': 74, 'trace_bound': 2, 'trace_display': [-3, 0, -2, 0], 'traces': [31, -3, 0, 33, -2, 0, 0, -9, 23, 4, -4, -12, 1, -14, 12, 25, -14, -39, -4, -20, -12, -8, -4, -24, 57, 3, 12, -26, -14, -4, -5, -11, 0, -6, 4, 29, 2, 2, -4, 22, -14, 8, -16, 8, -22, 0, -4, -40, 11, 13, -8, -1, 26, 28, -4, -12, -40, 18, -24, 92, 6, 3, -44, 3, 6, 4, -36, -2, 12, 2, -12, -21, 6, 38, -56, -10, -52, -12, -12, 4, -9, 12, -8, -4, 32, -20, 0, -4, -2, 36, 0, -76, 0, 24, 12, -4, -22, 99, 0, 61, 8, 64, 14, 15, 36, -46, -22, -40, 2, -8, 32, -18, -12, 68, 4, 46, -3, -10, 72, -116, 33, -22, 32, -5, 0, 2, -36, -39, -68, -14, 10, 12, -52, -44, 124, -82, 22, 104, -8, 14, 0, -2, -10, 81, 56, -14, -32, -98, 14, -60, 44, 40, -22, -48, 6, 12, -8, 92, 64, -56, 16, -159, -40, -48, 56, 4, 92, 8, 31, 68, 20, -92, -20, -96, -104, -88, 84, -66, -28, -164, -38, -8, 108, -8, 60, 12, -8, 4, -104, 6, -18, 0, 14, 136, 8, -37, -10, -116, 8, -31, 20, 20, 72, 44, 24, 50, 12, 15, -12, -96, -82, 46, -96, 62, -20, 68, 8, -96, 48, 32, -6, 72, -72, -18, 169, 132, 36, -84, 30, -8, 92, 30, 56, 39, 4, -2, -44, 84, 40, 104, 66, 97, 16, 58, -114, 32, 12, 9, -64, 74, 60, -150, -16, 48, -16, -51, 128, 164, -56, 42, -10, -16, 20, 72, 164, -34, 0, 16, -6, -192, -80, 46, 24, -10, 40, -24, 14, 8, -17, 152, -90, -44, -66, -22, -168, -16, 16, -123, 17, -52, -4, 58, -102, -16, 28, 54, -4, 114, -16, -380, -104, -8, 80, 82, -4, -134, 4, -104, -88, -20, 82, -60, -114, 148, -28, -48, -70, -64, -124, -70, -100, -16, -140, 61, -1, 78, 4, 46, -80, -164, 80, 168, -70, 60, 44, 100, 66, -3, 52, 192, 10, 146, -60, 0, 12, 154, 0, 120, -54, -164, 8, 16, -6, 68, -24, 74, 32, -80, -8, 86, 35, 38, -132, -36, 12, -100, -64, 64, -122, -96, -28, -20, -48, -116, 128, 100, 14, 240, 48, -74, -12, -62, -80, 52, 112, 104, 88, -16, -50, 16, 48, 151, -16, -50, -72, 108, 86, -8, 84, 33, -54, 228, -3, 48, -50, -44, 134, 108, 50, -62, 60, 54, 48, 52, -88, 3, 12, -88, 80, -272, -62, 22, 16, -122, 2, -44, -116, 22, 16, 76, -52, -108, 18, -30, -120, 28, 20, -64, -68, -64, 11, -42, 14, 208, 28, -60, -24, 96, 78, -335, -116, -124, -8, 0, -8, 264, -58, 82, -92, -200, 34, 108, 56, -38, -4, -188, 16, -5, -100, -408, 136, 32, -60, 20, -116, 88, 126, 20, -16, -328, -36, -142, -28, 1, 156, 60, -24, 82, -56, -138, 8, 104, -8, 36, -224, 7, 228, -16, -112, -350, 204, 68, -20, -28, 132, 20, 0, 24, -162, -396, -108, 27, -36, 184, -116, -72, 96, -8, 156, -78, 48, 206, -160, 40, 92, -24, -18, -100, 7, 164, -88, -246, 30, 80, 16, -392, -16, 146, -28, 416, 22, 76, -64, 142, 80, -12, -52, 234, 50, 44, -108, 112, -44, -122, -44, -56, 150, 39, -28, -46, 188, 220, 26, 248, 68, 88, 104, 28, 46, 128, -144, 36, 96, -22, -196, -5, -78, -89, -252, 124, 128, -148, 12, 194, 50, 114, 84, 128, 20, -70, 56, -306, -50, 44, -120, 2, 40, 64, -92, 200, 10, -8, 108, 32, -46, 88, -78, 6, 36, 388, 32, 206, 10, -14, 108, 88, -18, 16, -68, 0, -196, -150, 40, -44, 307, -326, -116, 80, 220, 66, -140, 96, -16, 68, 108, 148, 49, 36, 196, 176, 94, 200, 12, 200, 84, 84, 36, -261, -100, -7, 12, 18, 204, -152, -252, 24, 98, 104, -28, 352, 154, -200, 72, 148, 40, 26, 16, 264, 40, -72, -96, 12, -102, -114, -108, 33, -158, 28, -64, 8, -220, 24, 64, -150, 172, -190, -172, -292, -2, -244, -208, -186, -88, 252, 260, -228, -16, 54, 336, -68, 160, -84, -252, -272, 44, -114, 36, -144, -170, 70, -24, -142, -20, -132, -56, -268, 348, 66, -112, 16, -72, -57, 44, -162, -106, -108, -8, 56, -85, -28, 148, 200, -162, -52, 72, -88, -48, 148, -32, 64, -48, 88, 184, 8, 8, -80, 40, -56, 72, -188, 6, -52, -160, 22, -124, -232, 146, 0, 232, 24, -74, -152, 60, 34, 84, -96, 0, 128, -114, 172, -144, -116, 66, -288, -15, 86, -52, 206, 188, 56, 144, -100, 180, -393, 168, 28, -88, -114, -60, 36, -168, -316, -26, -336, 312, 48, 6, -28, 76, -27, -86, -62, -6, 180, -8, -11, 188, 102, -114, 536, 208, 28, 200, -168, 32, 56, 56, -266, -4, -18, -134, 36, 28, -68, -120, -98, -204, -152, 54, 100, -228, -33, -238, -156, 68, 184, 0, -142, 68, -236, -7, -16, -44, -42, -2, -8, 172, -30, -288, -134, 16, 120, -34, 264, -216, 12, 84, -104, 224, -312, 140, -160, -40, 44, 328, 58, 64, -46, -8, 372, -8, -222, -306, -40, 16, -228, 110, -190, 124, -256, -146, 319, -124, -46, -60, 154, 76, 100, -88, 8, 168, 88, 84, 128, 60, 186, 8, -178, -26, 485, 188, 92, -60, 418, 112, -156, 62, 356, 88, 96, 32, -552, -32, -426, -172, 102, -52, -80, -90, 372, -212, -110, -8, 196, 294, -288, -6, 98, -114, 48, 36, -116, 104, 86, -360, 55, 44, 316, -224, -36, 206, 48, 312, -150, -100, -24, 172, 36, -44, -244, 456, 144, -186, -230, 164, -264, 112, 70, 84, -56, 31, -50, -94, 386, 268, -584, 84, -25, -292, 166, 46, -92, -36, -184, -8, 166, -10, -348, 98, -270, 210, -524, 56, -208, 40, 40, 252, 20, -8, -132, -24, 51, -204, -18, -352, -396, -96, 8, 152, 384], '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: 33845188
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925331, 'source_is_minimal': True, 'source_label': '403.2.a.b.1.1', 'source_level': 403, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925331, 'target_is_minimal': True, 'target_label': '403.2.a.b.1.1', 'target_level': 403, 'twist_class_label': '403.2.a.b.1.1', 'twist_class_level': 403, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 33845189
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925331, 'source_is_minimal': True, 'source_label': '403.2.a.b.1.1', 'source_level': 403, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 54043195562004011, 'target_is_minimal': False, 'target_label': '3627.2.a.m.1.6', 'target_level': 3627, 'twist_class_label': '403.2.a.b.1.1', 'twist_class_level': 403, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 33845190
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925331, 'source_is_minimal': True, 'source_label': '403.2.a.b.1.1', 'source_level': 403, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391090452784, 'target_is_minimal': False, 'target_label': '6448.2.a.y.1.4', 'target_level': 6448, 'twist_class_label': '403.2.a.b.1.1', 'twist_class_level': 403, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 33845191
    {'conductor': 13, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 6, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4503599660925331, 'source_is_minimal': True, 'source_label': '403.2.a.b.1.1', 'source_level': 403, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27021597797782647, 'target_is_minimal': False, 'target_label': '5239.2.a.g.1.6', 'target_level': 5239, 'twist_class_label': '403.2.a.b.1.1', 'twist_class_level': 403, 'twisting_char_label': '13.12', 'twisting_conrey_index': 12, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 842675
    {'charpoly_factorization': [[[-3, 7, 6, -13, -7, 2, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 2}
  • id: 842676
    {'charpoly_factorization': [[[1, 1, -11, -10, 4, 5, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 3}
  • id: 842677
    {'charpoly_factorization': [[[39, 14, -75, -19, 20, 9, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 5}
  • id: 842678
    {'charpoly_factorization': [[[-113, 121, 175, -6, -29, 0, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 7}
  • id: 842679
    {'charpoly_factorization': [[[9, -76, 147, -49, -18, 5, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 11}
  • id: 842680
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 4503599660925331, 'p': 13}
  • id: 842681
    {'charpoly_factorization': [[[-1821, -758, 873, 709, 194, 23, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 17}
  • id: 842682
    {'charpoly_factorization': [[[2779, -5042, 1315, 460, -77, -7, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 19}
  • id: 842683
    {'charpoly_factorization': [[[2271, -746, -899, 2, 92, 18, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 23}
  • id: 842684
    {'charpoly_factorization': [[[1821, -4102, -2444, -225, 82, 18, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 29}
  • id: 842685
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 4503599660925331, 'p': 31}
  • id: 842686
    {'charpoly_factorization': [[[2371, 2966, -1875, -1010, -55, 13, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 37}
  • id: 842687
    {'charpoly_factorization': [[[-9633, 13021, 1920, -886, -139, 5, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 41}
  • id: 842688
    {'charpoly_factorization': [[[599, 1541, 532, -706, -101, 7, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 43}
  • id: 842689
    {'charpoly_factorization': [[[-5361, 233, 2666, -500, -95, 9, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 47}
  • id: 842690
    {'charpoly_factorization': [[[-3633, -2780, 1489, 1421, 334, 31, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 53}
  • id: 842691
    {'charpoly_factorization': [[[-1359, -9040, 3945, 71, -136, 1, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 59}
  • id: 842692
    {'charpoly_factorization': [[[-6223, -12413, -8179, -1998, -94, 15, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 61}
  • id: 842693
    {'charpoly_factorization': [[[221807, 16051, -13236, -1422, 164, 28, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 67}
  • id: 842694
    {'charpoly_factorization': [[[627, -26476, 11201, 864, -279, -1, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 71}
  • id: 842695
    {'charpoly_factorization': [[[1721, -2768, -2370, -293, 88, 20, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 73}
  • id: 842696
    {'charpoly_factorization': [[[15161, 30026, 1747, -1398, -83, 15, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 79}
  • id: 842697
    {'charpoly_factorization': [[[-4077, -1013, 1284, 52, -73, -1, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 83}
  • id: 842698
    {'charpoly_factorization': [[[-3681, 16681, 4039, -1046, -252, 1, 1], 1]], 'hecke_orbit_code': 4503599660925331, 'p': 89}
  • id: 842699
    {'charpoly_factorization': [[[-1351, -2356, 16576, -612, -252, 5, 1], 1]], 'hecke_orbit_code': 4503599660925331, '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': 2, 'label': '403.2.a.b', 'level': 403, '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: 16122228
    {'hecke_orbit_code': 4503599660925331, 'n': 1, 'trace_an': 6}
  • id: 16122229
    {'hecke_orbit_code': 4503599660925331, 'n': 2, 'trace_an': -2}
  • id: 16122230
    {'hecke_orbit_code': 4503599660925331, 'n': 3, 'trace_an': -5}
  • id: 16122231
    {'hecke_orbit_code': 4503599660925331, 'n': 4, 'trace_an': 6}
  • id: 16122232
    {'hecke_orbit_code': 4503599660925331, 'n': 5, 'trace_an': -9}
  • id: 16122233
    {'hecke_orbit_code': 4503599660925331, 'n': 6, 'trace_an': 0}
  • id: 16122234
    {'hecke_orbit_code': 4503599660925331, 'n': 7, 'trace_an': 0}
  • id: 16122235
    {'hecke_orbit_code': 4503599660925331, 'n': 8, 'trace_an': -3}
  • id: 16122236
    {'hecke_orbit_code': 4503599660925331, 'n': 9, 'trace_an': -1}
  • id: 16122237
    {'hecke_orbit_code': 4503599660925331, 'n': 10, 'trace_an': -8}
  • id: 16122238
    {'hecke_orbit_code': 4503599660925331, 'n': 11, 'trace_an': -5}
  • id: 16122239
    {'hecke_orbit_code': 4503599660925331, 'n': 12, 'trace_an': -13}
  • id: 16122240
    {'hecke_orbit_code': 4503599660925331, 'n': 13, 'trace_an': 6}
  • id: 16122241
    {'hecke_orbit_code': 4503599660925331, 'n': 14, 'trace_an': -17}
  • id: 16122242
    {'hecke_orbit_code': 4503599660925331, 'n': 15, 'trace_an': 4}
  • id: 16122243
    {'hecke_orbit_code': 4503599660925331, 'n': 16, 'trace_an': 14}
  • id: 16122244
    {'hecke_orbit_code': 4503599660925331, 'n': 17, 'trace_an': -23}
  • id: 16122245
    {'hecke_orbit_code': 4503599660925331, 'n': 18, 'trace_an': 9}
  • id: 16122246
    {'hecke_orbit_code': 4503599660925331, 'n': 19, 'trace_an': 7}
  • id: 16122247
    {'hecke_orbit_code': 4503599660925331, 'n': 20, 'trace_an': -10}
  • id: 16122248
    {'hecke_orbit_code': 4503599660925331, 'n': 21, 'trace_an': 2}
  • id: 16122249
    {'hecke_orbit_code': 4503599660925331, 'n': 22, 'trace_an': 2}
  • id: 16122250
    {'hecke_orbit_code': 4503599660925331, 'n': 23, 'trace_an': -18}
  • id: 16122251
    {'hecke_orbit_code': 4503599660925331, 'n': 24, 'trace_an': -13}
  • id: 16122252
    {'hecke_orbit_code': 4503599660925331, 'n': 25, 'trace_an': 11}
  • id: 16122253
    {'hecke_orbit_code': 4503599660925331, 'n': 26, 'trace_an': -2}
  • id: 16122254
    {'hecke_orbit_code': 4503599660925331, 'n': 27, 'trace_an': -5}
  • id: 16122255
    {'hecke_orbit_code': 4503599660925331, 'n': 28, 'trace_an': -25}
  • id: 16122256
    {'hecke_orbit_code': 4503599660925331, 'n': 29, 'trace_an': -18}
  • id: 16122257
    {'hecke_orbit_code': 4503599660925331, 'n': 30, 'trace_an': 25}
  • id: 16122258
    {'hecke_orbit_code': 4503599660925331, 'n': 31, 'trace_an': 6}
  • id: 16122259
    {'hecke_orbit_code': 4503599660925331, 'n': 32, 'trace_an': 2}
  • id: 16122260
    {'hecke_orbit_code': 4503599660925331, 'n': 33, 'trace_an': -2}
  • id: 16122261
    {'hecke_orbit_code': 4503599660925331, 'n': 34, 'trace_an': -16}
  • id: 16122262
    {'hecke_orbit_code': 4503599660925331, 'n': 35, 'trace_an': -1}
  • id: 16122263
    {'hecke_orbit_code': 4503599660925331, 'n': 36, 'trace_an': -2}
  • id: 16122264
    {'hecke_orbit_code': 4503599660925331, 'n': 37, 'trace_an': -13}
  • id: 16122265
    {'hecke_orbit_code': 4503599660925331, 'n': 38, 'trace_an': -8}
  • id: 16122266
    {'hecke_orbit_code': 4503599660925331, 'n': 39, 'trace_an': -5}
  • id: 16122267
    {'hecke_orbit_code': 4503599660925331, 'n': 40, 'trace_an': -29}
  • id: 16122268
    {'hecke_orbit_code': 4503599660925331, 'n': 41, 'trace_an': -5}
  • id: 16122269
    {'hecke_orbit_code': 4503599660925331, 'n': 42, 'trace_an': 31}
  • id: 16122270
    {'hecke_orbit_code': 4503599660925331, 'n': 43, 'trace_an': -7}
  • id: 16122271
    {'hecke_orbit_code': 4503599660925331, 'n': 44, 'trace_an': 30}
  • id: 16122272
    {'hecke_orbit_code': 4503599660925331, 'n': 45, 'trace_an': -5}
  • id: 16122273
    {'hecke_orbit_code': 4503599660925331, 'n': 46, 'trace_an': 19}
  • id: 16122274
    {'hecke_orbit_code': 4503599660925331, 'n': 47, 'trace_an': -9}
  • id: 16122275
    {'hecke_orbit_code': 4503599660925331, 'n': 48, 'trace_an': -19}
  • id: 16122276
    {'hecke_orbit_code': 4503599660925331, 'n': 49, 'trace_an': 16}
  • id: 16122277
    {'hecke_orbit_code': 4503599660925331, 'n': 50, 'trace_an': 29}
  • id: 16122278
    {'hecke_orbit_code': 4503599660925331, 'n': 51, 'trace_an': 26}
  • id: 16122279
    {'hecke_orbit_code': 4503599660925331, 'n': 52, 'trace_an': 6}
  • id: 16122280
    {'hecke_orbit_code': 4503599660925331, 'n': 53, 'trace_an': -31}
  • id: 16122281
    {'hecke_orbit_code': 4503599660925331, 'n': 54, 'trace_an': -4}
  • id: 16122282
    {'hecke_orbit_code': 4503599660925331, 'n': 55, 'trace_an': 7}
  • id: 16122283
    {'hecke_orbit_code': 4503599660925331, 'n': 56, 'trace_an': 8}
  • id: 16122284
    {'hecke_orbit_code': 4503599660925331, 'n': 57, 'trace_an': -5}
  • id: 16122285
    {'hecke_orbit_code': 4503599660925331, 'n': 58, 'trace_an': 35}
  • id: 16122286
    {'hecke_orbit_code': 4503599660925331, 'n': 59, 'trace_an': -1}
  • id: 16122287
    {'hecke_orbit_code': 4503599660925331, 'n': 60, 'trace_an': 33}
  • id: 16122288
    {'hecke_orbit_code': 4503599660925331, 'n': 61, 'trace_an': -15}
  • id: 16122289
    {'hecke_orbit_code': 4503599660925331, 'n': 62, 'trace_an': -2}
  • id: 16122290
    {'hecke_orbit_code': 4503599660925331, 'n': 63, 'trace_an': 11}
  • id: 16122291
    {'hecke_orbit_code': 4503599660925331, 'n': 64, 'trace_an': -5}
  • id: 16122292
    {'hecke_orbit_code': 4503599660925331, 'n': 65, 'trace_an': -9}
  • id: 16122293
    {'hecke_orbit_code': 4503599660925331, 'n': 66, 'trace_an': -29}
  • id: 16122294
    {'hecke_orbit_code': 4503599660925331, 'n': 67, 'trace_an': -28}
  • id: 16122295
    {'hecke_orbit_code': 4503599660925331, 'n': 68, 'trace_an': -12}
  • id: 16122296
    {'hecke_orbit_code': 4503599660925331, 'n': 69, 'trace_an': 5}
  • id: 16122297
    {'hecke_orbit_code': 4503599660925331, 'n': 70, 'trace_an': 73}
  • id: 16122298
    {'hecke_orbit_code': 4503599660925331, 'n': 71, 'trace_an': 1}
  • id: 16122299
    {'hecke_orbit_code': 4503599660925331, 'n': 72, 'trace_an': 45}
  • id: 16122300
    {'hecke_orbit_code': 4503599660925331, 'n': 73, 'trace_an': -20}
  • id: 16122301
    {'hecke_orbit_code': 4503599660925331, 'n': 74, 'trace_an': 4}
  • id: 16122302
    {'hecke_orbit_code': 4503599660925331, 'n': 75, 'trace_an': 1}
  • id: 16122303
    {'hecke_orbit_code': 4503599660925331, 'n': 76, 'trace_an': 38}
  • id: 16122304
    {'hecke_orbit_code': 4503599660925331, 'n': 77, 'trace_an': -29}
  • id: 16122305
    {'hecke_orbit_code': 4503599660925331, 'n': 78, 'trace_an': 0}
  • id: 16122306
    {'hecke_orbit_code': 4503599660925331, 'n': 79, 'trace_an': -15}
  • id: 16122307
    {'hecke_orbit_code': 4503599660925331, 'n': 80, 'trace_an': 7}
  • id: 16122308
    {'hecke_orbit_code': 4503599660925331, 'n': 81, 'trace_an': 2}
  • id: 16122309
    {'hecke_orbit_code': 4503599660925331, 'n': 82, 'trace_an': 36}
  • id: 16122310
    {'hecke_orbit_code': 4503599660925331, 'n': 83, 'trace_an': 1}
  • id: 16122311
    {'hecke_orbit_code': 4503599660925331, 'n': 84, 'trace_an': 68}
  • id: 16122312
    {'hecke_orbit_code': 4503599660925331, 'n': 85, 'trace_an': 29}
  • id: 16122313
    {'hecke_orbit_code': 4503599660925331, 'n': 86, 'trace_an': 3}
  • id: 16122314
    {'hecke_orbit_code': 4503599660925331, 'n': 87, 'trace_an': 10}
  • id: 16122315
    {'hecke_orbit_code': 4503599660925331, 'n': 88, 'trace_an': 9}
  • id: 16122316
    {'hecke_orbit_code': 4503599660925331, 'n': 89, 'trace_an': -1}
  • id: 16122317
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  • id: 16122325
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  • id: 16122330
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  • id: 16122331
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  • id: 16122332
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  • id: 16122337
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  • id: 16122339
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  • id: 16122340
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  • id: 16122343
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  • id: 16122349
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  • id: 16122350
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  • id: 16122390
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  • id: 16122392
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  • id: 16122393
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  • id: 16122403
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  • id: 16122406
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  • id: 16122407
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  • id: 16122408
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  • id: 16122409
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  • id: 16122410
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  • id: 16122411
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  • id: 16122412
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  • id: 16122413
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  • id: 16122414
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  • id: 16122415
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  • id: 16122416
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  • id: 16122417
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  • id: 16122418
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  • id: 16122419
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  • id: 16122420
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  • id: 16122421
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  • id: 16122422
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  • id: 16122423
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  • id: 16122424
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  • id: 16122425
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  • id: 16122426
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  • id: 16122427
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  • id: 16122428
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  • id: 16122429
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  • id: 16122430
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  • id: 16122431
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  • id: 16122432
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  • id: 16122433
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  • id: 16122434
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  • id: 16122435
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  • id: 16122436
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  • id: 16122437
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  • id: 16122438
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  • id: 16122439
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  • id: 16122440
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  • id: 16122441
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  • id: 16122442
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  • id: 16122443
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  • id: 16122444
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  • id: 16122445
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  • id: 16122446
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  • id: 16122447
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  • id: 16122448
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  • id: 16122449
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  • id: 16122450
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  • id: 16122451
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  • id: 16122452
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  • id: 16122453
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  • id: 16122454
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  • id: 16122455
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  • id: 16122456
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  • id: 16122457
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  • id: 16122458
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  • id: 16122459
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  • id: 16122460
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  • id: 16122461
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  • id: 16122462
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  • id: 16122463
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  • id: 16122464
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  • id: 16122465
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  • id: 16122466
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  • id: 16122467
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  • id: 16122468
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  • id: 16122469
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  • id: 16122470
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  • id: 16122471
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  • id: 16122472
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  • id: 16122473
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  • id: 16122474
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  • id: 16122475
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  • id: 16122476
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  • id: 16122477
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  • id: 16122478
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  • id: 16122479
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  • id: 16122480
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  • id: 16122481
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  • id: 16122482
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  • id: 16122483
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  • id: 16122484
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  • id: 16122485
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