Embedded newform data - 1575.4.a.i.1.1

Formats: - HTML - YAML - JSON - 2026-03-06T20:09:59.727386

• 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': 25200, 'analytic_conductor': 92.92800825904146, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1], [7, 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': [1575, 1, [1226, 127, 451], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 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, 1]], [11, [60, 1]], [13, [38, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086074407, 'hecke_ring_generator_nbound': 1, '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': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1575.4.a.i', 'level': 1575, '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': [3, 5, 7], 'level_radical': 105, 'minimal_twist': '315.4.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{2}+q^{4}-7q^{7}-21q^{8}-60q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1575.4.a', 'trace_display': [3, 0, 0, -7], 'trace_hash': 282475201858355386, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.030', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.976', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.067', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.854', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.140', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.424', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 3, 0, 1, 0, 0, -7, -21, 0, 0, -60, 0, -38, -21, 0, -71, -84, 0, 110, 0, 0, -180, 120, 0, 0, -114, 0, -7, -162, 0, 236, -45, 0, -252, 0, 0, 376, 330, 0, 0, 126, 0, 34, -60, 0, 360, -6, 0, 49, 0, 0, -38, 582, 0, 0, 147, 0, -486, -492, 0, -880, 708, 0, 433, 0, 0, 826, -84, 0, 0, 666, 0, 826, 1128, 0, 110, 420, 0, -592, 0, 0, 378, 792, 0, 0, 102, 0, 1260, -1002, 0, 266, 120, 0, -18, 0, 0, -1442, 147, 0, 0, 1182, 0, -56, 798, 0, 1746, -1572, 0, -1402, 0, 0, 497, -846, 0, 0, -162, 0, -1476, 588, 0, 2269, -2640, 0, 236, 0, 0, 1096, 1659, 0, 0, 492, 0, -770, 2478, 0, 1764, -282, 0, 2, 0, 0, 1998, 2280, 0, 0, 2478, 0, 376, -606, 0, -2176, -2310, 0, 1260, 0, 0, -146, -1776, 0, 0, -840, 0, 826, 126, 0, 2376, 1206, 0, -753, 0, 0, 34, 1398, 0, 0, 4260, 0, -3006, 2424, 0, 3728, 798, 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• 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

  
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-0.32665430026818587, -0.09988694302649966, -0.15762886904534493, -0.12553055002138744, -0.1260562740788436, -0.1662339727361903, -0.4145793945198267, -0.26303522982562544, -0.08277018587840122, -0.15652258708758035, -0.2404077505700358, -0.29787742899865965, -0.15392721105954346, -0.2442997410496496, -0.35110008606526, -0.4590578290483873, -0.4440363761572051, -0.35208585860341757, -0.2821806059422419, -0.1601668338385629, -0.34160897271006047, -0.4189680530428697, -0.3229106882430184, -0.10788112801535288, -0.24706517127758856], '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': 0.0, 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086074407, 'label': '1575.4.a.i.1.1', 'level': 1575, 'weight': 4}
• 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': [16, 10, 14, 18, 19, 22, 23, 21], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [74, 74, 70, 72, 65, 68, 67, 63], 'Nk2': 25200, 'analytic_conductor': 92.92800825904146, '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': [1575, 1, [1226, 127, 451], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 696, 'dim': 143, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 11, 13], 'hecke_orbit_code': 67110439, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 8, 8, 10, 10], 'label': '1575.4.a', 'level': 1575, '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': [3, 5, 7], 'level_radical': 105, 'mf_dim': 744, 'mf_new_dim': 143, 'num_forms': 47, 'plus_dim': 79, 'prim_orbit_index': 1, 'relative_dim': 143, 'sturm_bound': 960, 'trace_bound': 11, 'trace_display': [-1, 0, 0, -7], 'traces': [143, -1, 0, 569, 0, 0, -7, 3, 0, 0, -108, 0, -128, 7, 0, 2469, -86, 0, -110, 0, 0, 256, 412, 0, 0, -1036, 0, -35, -410, 0, 324, -597, 0, 362, 0, 0, 86, 722, 0, 0, -274, 0, 240, -870, 0, 1406, 604, 0, 7007, 0, 0, -836, 394, 0, 0, -147, 0, -658, 562, 0, 296, -3516, 0, 9031, 0, 0, 156, -490, 0, 0, 2248, 0, -1026, 6316, 0, -738, 896, 0, 4260, 0, 0, 6650, 422, 0, 0, 4222, 0, 4204, 1530, 0, 196, 1368, 0, 10024, 0, 0, -1270, -49, 0, 0, 204, 0, 6596, 540, 0, 4718, 6032, 0, -3354, 0, 0, -959, -2734, 0, 0, -2548, 0, -5346, -994, 0, 14775, 2364, 0, 1180, 0, 0, 3752, -7717, 0, 0, -5054, 0, 210, 9826, 0, -4286, 1966, 0, 7270, 0, 0, 4020, -6208, 0, 0, 15270, 0, -4318, -686, 0, 8668, -6358, 0, 3318, 0, 0, -13728, 12260, 0, 0, -1680, 0, -6440, 14314, 0, -7126, -4692, 0, 32725, 0, 0, 22448, -2956, 0, 0, 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714, 0, 42674, -78828, 0, 50796, -11744, 0, 19256, 0, 0, -55616, 22460, 0, 0, 8144, 0, -15874, 25310, 0, 50336, 147, 0, 23936, 0, 0, 73184, 43596, 0, 0, -43098, 0, 792, 23184, 0, 16940, -57000, 0, -1514, 0, 0, 29172, 11270, 0, 0, -30440, 0, -38120, 9570, 0, 43522, 56688, 0, 53938, 0, 0, -1120, 76436, 0, 0, -22580, 0, 12386, -18256, 0, -88220, 45056, 0, -25944, 0, 0, 58228, 11088, 0, 0, 96504, 0, 12173, -40262, 0, -956, 45230, 0, -166354, 0, 0, -63894, -92560, 0, 0, 30192, 0, -7576, 45044, 0, -94328, -88874, 0, 980, 0, 0, -4834, -872, 0, 0, -5558, 0, -54504, -8436, 0, -45384, -56910, 0, -33577, 0, 0, -35704, 51372, 0, 0, -151892, 0, 64356, -168432, 0, -112616, 21224, 0, -11172, 0, 0, 16386, 39832, 0, 0, -4482, 0, -61800, 105120, 0, -7434, -93765, 0, -159298, 0, 0, 24760, -3066, 0, 0, 51278, 0, -2510, -212494, 0, 25586, 77952, 0, 100047, 0, 0, -1750, 27744, 0, 0, -50016, 0, -860, -5292, 0, 120914, 65896, 0, -86142, 0, 0, 81888, -84838, 0, 0, -80508, 0, 18032, 107074, 0, -192910, 48450, 0, -100720, 0, 0, -26570, -30470, 0, 0, -157826, 0, 55228, -117066, 0, -96212, -198304, 0, 28406, 0, 0, -35714, -13271, 0, 0, -8582, 0, -41184, 54306, 0, -182436, -65070, 0, 7128, 0, 0, -109782, -8250, 0, 0, 191612, 0, -91248, -248504, 0, 106418, 52080, 0, 49374, 0, 0, 83624, 14954, 0, 0, 136392, 0, 28350, 319154, 0, 25620, -33534, 0, -41178, 0, 0, -136552, 1470, 0, 0, -143214, 0, -135916, 59324, 0, -106556, 160376, 0, -130952, 0, 0, -6272, -10604, 0, 0, -143534, 0, 65750, -36498, 0, -282752, 92932, 0, -45080, 0, 0, -14408, -76994, 0, 0, 123262, 0, -13944, 106872, 0, -190704, 125304, 0, -310558, 0, 0, -64200, -88372, 0, 0, 106344, 0, -99914, -257226, 0, 77043, -140668, 0, 15274, 0, 0, -67360, -17544, 0, 0, 343, 0, -3824, -360, 0, 177218, -151800, 0, -155114, 0, 0, -39524, 66496, 0, 0, 998, 0, 80772, -117948, 0, -117986, 42280, 0, -18266, 0, 0, -7106, -39552, 0, 0, -317296, 0, 66036, 101700, 0, 11900, -124345, 0, -153032, 0, 0, 30844, -43288, 0, 0, 59696, 0, 66412, 320640, 0, -86718, 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0, -295336, 64582, 0, 139724, 0, 0, 347548, -14888, 0, 0, -168936, 0, 67506, 252034, 0, -5390, -265166, 0, 24694, 0, 0, -173874, -104580, 0, 0, 13284, 0, -206032, -132106, 0, -578502, 36260, 0, 7928, 0, 0, -112630, 34478, 0, 0, -144264, 0, -374620, -6930, 0, 137663, 117624, 0, -690270, 0, 0, -50184, -62129, 0, 0, 81190, 0, -28266, -207522, 0, 581448, 229070, 0, 195492, 0, 0, -73204, 19052, 0, 0, -206044, 0, -56496, 56928, 0, 376420, -803868, 0, 131166, 0, 0, -88348, -239608, 0, 0], 'weight': 4, '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: 46571905
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797086074407, 'target_is_minimal': False, 'target_label': '1575.4.a.i.1.1', 'target_level': 1575, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 46571906
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321851431, 'target_is_minimal': False, 'target_label': '1575.4.a.c.1.1', 'target_level': 1575, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 46571907
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479675, 'target_is_minimal': True, 'target_label': '315.4.a.b.1.1', 'target_level': 315, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 46571908
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591163, 'target_is_minimal': True, 'target_label': '315.4.a.e.1.1', 'target_level': 315, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 46571909
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203963549, 'target_is_minimal': False, 'target_label': '2205.4.a.f.1.1', 'target_level': 2205, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 4}
  • id: 46571910
    {'conductor': 105, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 36028797086074407, 'source_is_minimal': False, 'source_label': '1575.4.a.i.1.1', 'source_level': 1575, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477668509, 'target_is_minimal': False, 'target_label': '2205.4.a.p.1.1', 'target_level': 2205, 'twist_class_label': '315.4.a.b.1.1', 'twist_class_level': 315, 'twisting_char_label': '105.104', 'twisting_conrey_index': 104, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2050275
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 2}
  • id: 2050276
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 3}
  • id: 2050277
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 5}
  • id: 2050278
    {'charpoly_factorization': [[[7, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 7}
  • id: 2050279
    {'charpoly_factorization': [[[60, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 11}
  • id: 2050280
    {'charpoly_factorization': [[[38, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 13}
  • id: 2050281
    {'charpoly_factorization': [[[84, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 17}
  • id: 2050282
    {'charpoly_factorization': [[[-110, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 19}
  • id: 2050283
    {'charpoly_factorization': [[[-120, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 23}
  • id: 2050284
    {'charpoly_factorization': [[[162, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 29}
  • id: 2050285
    {'charpoly_factorization': [[[-236, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 31}
  • id: 2050286
    {'charpoly_factorization': [[[-376, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 37}
  • id: 2050287
    {'charpoly_factorization': [[[-126, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 41}
  • id: 2050288
    {'charpoly_factorization': [[[-34, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 43}
  • id: 2050289
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 47}
  • id: 2050290
    {'charpoly_factorization': [[[-582, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 53}
  • id: 2050291
    {'charpoly_factorization': [[[492, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 59}
  • id: 2050292
    {'charpoly_factorization': [[[880, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 61}
  • id: 2050293
    {'charpoly_factorization': [[[-826, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 67}
  • id: 2050294
    {'charpoly_factorization': [[[-666, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 71}
  • id: 2050295
    {'charpoly_factorization': [[[-826, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 73}
  • id: 2050296
    {'charpoly_factorization': [[[592, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 79}
  • id: 2050297
    {'charpoly_factorization': [[[-792, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 83}
  • id: 2050298
    {'charpoly_factorization': [[[1002, 1], 1]], 'hecke_orbit_code': 36028797086074407, 'p': 89}
  • id: 2050299
    {'charpoly_factorization': [[[1442, 1], 1]], 'hecke_orbit_code': 36028797086074407, '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': '1575.4.a.i', 'level': 1575, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51679699
    {'hecke_orbit_code': 36028797086074407, 'n': 1, 'trace_an': 1}
  • id: 51679700
    {'hecke_orbit_code': 36028797086074407, 'n': 2, 'trace_an': 3}
  • id: 51679701
    {'hecke_orbit_code': 36028797086074407, 'n': 3, 'trace_an': 0}
  • id: 51679702
    {'hecke_orbit_code': 36028797086074407, 'n': 4, 'trace_an': 1}
  • id: 51679703
    {'hecke_orbit_code': 36028797086074407, 'n': 5, 'trace_an': 0}
  • id: 51679704
    {'hecke_orbit_code': 36028797086074407, 'n': 6, 'trace_an': 0}
  • id: 51679705
    {'hecke_orbit_code': 36028797086074407, 'n': 7, 'trace_an': -7}
  • id: 51679706
    {'hecke_orbit_code': 36028797086074407, 'n': 8, 'trace_an': -21}
  • id: 51679707
    {'hecke_orbit_code': 36028797086074407, 'n': 9, 'trace_an': 0}
  • id: 51679708
    {'hecke_orbit_code': 36028797086074407, 'n': 10, 'trace_an': 0}
  • id: 51679709
    {'hecke_orbit_code': 36028797086074407, 'n': 11, 'trace_an': -60}
  • id: 51679710
    {'hecke_orbit_code': 36028797086074407, 'n': 12, 'trace_an': 0}
  • id: 51679711
    {'hecke_orbit_code': 36028797086074407, 'n': 13, 'trace_an': -38}
  • id: 51679712
    {'hecke_orbit_code': 36028797086074407, 'n': 14, 'trace_an': -21}
  • id: 51679713
    {'hecke_orbit_code': 36028797086074407, 'n': 15, 'trace_an': 0}
  • id: 51679714
    {'hecke_orbit_code': 36028797086074407, 'n': 16, 'trace_an': -71}
  • id: 51679715
    {'hecke_orbit_code': 36028797086074407, 'n': 17, 'trace_an': -84}
  • id: 51679716
    {'hecke_orbit_code': 36028797086074407, 'n': 18, 'trace_an': 0}
  • id: 51679717
    {'hecke_orbit_code': 36028797086074407, 'n': 19, 'trace_an': 110}
  • id: 51679718
    {'hecke_orbit_code': 36028797086074407, 'n': 20, 'trace_an': 0}
  • id: 51679719
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  • id: 51679720
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  • id: 51679721
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  • id: 51679722
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  • id: 51679723
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  • id: 51679724
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  • id: 51679725
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  • id: 51679726
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  • id: 51679727
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  • id: 51679728
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  • id: 51679729
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  • id: 51679730
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  • id: 51679731
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  • id: 51679732
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  • id: 51679733
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  • id: 51679735
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  • id: 51679736
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  • id: 51679737
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  • id: 51679739
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  • id: 51679740
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  • id: 51679741
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  • id: 51679742
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  • id: 51679743
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  • id: 51679744
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  • id: 51679745
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  • id: 51679746
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  • id: 51679747
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  • id: 51679762
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  • id: 51679764
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  • id: 51679789
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  • id: 51679790
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  • id: 51679791
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  • id: 51679795
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  • id: 51679800
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  • id: 51679808
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  • id: 51679811
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  • id: 51679812
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  • id: 51679813
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  • id: 51679814
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  • id: 51679815
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  • id: 51679816
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  • id: 51679817
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  • id: 51679818
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  • id: 51679819
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  • id: 51679820
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  • id: 51679821
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  • id: 51679822
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  • id: 51679823
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  • id: 51679824
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  • id: 51679825
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  • id: 51679826
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  • id: 51679827
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  • id: 51679828
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  • id: 51679829
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  • id: 51679830
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  • id: 51679831
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  • id: 51679832
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  • id: 51679833
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  • id: 51679834
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  • id: 51679835
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  • id: 51679836
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  • id: 51679837
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  • id: 51679838
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  • id: 51679839
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  • id: 51679840
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  • id: 51679841
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  • id: 51679844
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  • id: 51679846
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  • id: 51679847
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  • id: 51679848
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  • id: 51679860
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  • id: 51679871
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  • id: 51679917
    {'hecke_orbit_code': 36028797086074407, 'n': 739, 'trace_an': -11104}
  • id: 51679918
    {'hecke_orbit_code': 36028797086074407, 'n': 743, 'trace_an': 25416}
  • id: 51679919
    {'hecke_orbit_code': 36028797086074407, 'n': 751, 'trace_an': -30904}
  • id: 51679920
    {'hecke_orbit_code': 36028797086074407, 'n': 757, 'trace_an': 16216}
  • id: 51679921
    {'hecke_orbit_code': 36028797086074407, 'n': 761, 'trace_an': -7230}
  • id: 51679922
    {'hecke_orbit_code': 36028797086074407, 'n': 769, 'trace_an': 4790}
  • id: 51679923
    {'hecke_orbit_code': 36028797086074407, 'n': 773, 'trace_an': 36114}
  • id: 51679924
    {'hecke_orbit_code': 36028797086074407, 'n': 787, 'trace_an': -13556}
  • id: 51679925
    {'hecke_orbit_code': 36028797086074407, 'n': 797, 'trace_an': 39006}
  • id: 51679926
    {'hecke_orbit_code': 36028797086074407, 'n': 809, 'trace_an': -21480}
  • id: 51679927
    {'hecke_orbit_code': 36028797086074407, 'n': 811, 'trace_an': 146}
  • id: 51679928
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  • id: 51679929
    {'hecke_orbit_code': 36028797086074407, 'n': 823, 'trace_an': 33964}
  • id: 51679930
    {'hecke_orbit_code': 36028797086074407, 'n': 827, 'trace_an': -23292}
  • id: 51679931
    {'hecke_orbit_code': 36028797086074407, 'n': 829, 'trace_an': 33716}
  • id: 51679932
    {'hecke_orbit_code': 36028797086074407, 'n': 839, 'trace_an': 35280}
  • id: 51679933
    {'hecke_orbit_code': 36028797086074407, 'n': 841, 'trace_an': 1855}
  • id: 51679934
    {'hecke_orbit_code': 36028797086074407, 'n': 853, 'trace_an': -36902}
  • id: 51679935
    {'hecke_orbit_code': 36028797086074407, 'n': 857, 'trace_an': -30648}
  • id: 51679936
    {'hecke_orbit_code': 36028797086074407, 'n': 859, 'trace_an': 20918}
  • id: 51679937
    {'hecke_orbit_code': 36028797086074407, 'n': 863, 'trace_an': 19812}
  • id: 51679938
    {'hecke_orbit_code': 36028797086074407, 'n': 877, 'trace_an': -38900}
  • id: 51679939
    {'hecke_orbit_code': 36028797086074407, 'n': 881, 'trace_an': -16398}
  • id: 51679940
    {'hecke_orbit_code': 36028797086074407, 'n': 883, 'trace_an': -30422}
  • id: 51679941
    {'hecke_orbit_code': 36028797086074407, 'n': 887, 'trace_an': 6222}
  • id: 51679942
    {'hecke_orbit_code': 36028797086074407, 'n': 907, 'trace_an': -21926}
  • id: 51679943
    {'hecke_orbit_code': 36028797086074407, 'n': 911, 'trace_an': -40662}
  • id: 51679944
    {'hecke_orbit_code': 36028797086074407, 'n': 919, 'trace_an': 25688}
  • id: 51679945
    {'hecke_orbit_code': 36028797086074407, 'n': 929, 'trace_an': 16026}
  • id: 51679946
    {'hecke_orbit_code': 36028797086074407, 'n': 937, 'trace_an': -18362}
  • id: 51679947
    {'hecke_orbit_code': 36028797086074407, 'n': 941, 'trace_an': -8034}
  • id: 51679948
    {'hecke_orbit_code': 36028797086074407, 'n': 947, 'trace_an': -30732}
  • id: 51679949
    {'hecke_orbit_code': 36028797086074407, 'n': 953, 'trace_an': 28242}
  • id: 51679950
    {'hecke_orbit_code': 36028797086074407, 'n': 961, 'trace_an': 25905}
  • id: 51679951
    {'hecke_orbit_code': 36028797086074407, 'n': 967, 'trace_an': -37496}
  • id: 51679952
    {'hecke_orbit_code': 36028797086074407, 'n': 971, 'trace_an': 27204}
  • id: 51679953
    {'hecke_orbit_code': 36028797086074407, 'n': 977, 'trace_an': 42954}
  • id: 51679954
    {'hecke_orbit_code': 36028797086074407, 'n': 983, 'trace_an': -10182}
  • id: 51679955
    {'hecke_orbit_code': 36028797086074407, 'n': 991, 'trace_an': 30008}
  • id: 51679956
    {'hecke_orbit_code': 36028797086074407, 'n': 997, 'trace_an': 47554}