Embedded newform data - 2400.4.a.p.1.1

Formats: - HTML - YAML - JSON - 2026-03-09T03:50:38.793041

• 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': 38400, 'analytic_conductor': 141.60458401377747, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, 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': [2400, 1, [1951, 901, 1601, 577], [1, 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': [[7, [12, 1]], [11, [-24, 1]]], 'hecke_orbit': 16, 'hecke_orbit_code': 67553994477668704, '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': '2400.4.a.p', 'level': 2400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '480.4.a.e', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+3q^{3}-12q^{7}+9q^{9}+24q^{11}-38q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2400.4.a', 'trace_display': [0, 3, 0, -12], 'trace_hash': 1947912696836489414, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.997', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.062', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.210', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.095', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [1, 0, 3, 0, 0, 0, -12, 0, 9, 0, 24, 0, -38, 0, 0, 0, 6, 0, -104, 0, -36, 0, 100, 0, 0, 0, 27, 0, 230, 0, 56, 0, 72, 0, 0, 0, -190, 0, -114, 0, 202, 0, -148, 0, 0, 0, 124, 0, -199, 0, 18, 0, -206, 0, 0, 0, -312, 0, 128, 0, 190, 0, -108, 0, 0, 0, -204, 0, 300, 0, 440, 0, -1210, 0, 0, 0, -288, 0, -816, 0, 81, 0, -1412, 0, 0, 0, 690, 0, -214, 0, 456, 0, 168, 0, 0, 0, -1202, 0, 216, 0, 1342, 0, 908, 0, 0, 0, -876, 0, 302, 0, -570, 0, 998, 0, 0, 0, -342, 0, -72, 0, -755, 0, 606, 0, 0, 0, 836, 0, -444, 0, 1480, 0, 1248, 0, 0, 0, -1346, 0, -824, 0, 372, 0, -912, 0, 0, 0, -597, 0, -2450, 0, -2696, 0, 54, 0, 0, 0, 554, 0, -618, 0, -1200, 0, -1364, 0, 0, 0, -2004, 0, -753, 0, -936, 0, 1546, 0, 0, 0, 384, 0, 1072, 0, -3754, 0, 570, 0, 0, 0, 144, 0, -324, 0, -1224, 0, 1694, 0, 0, 0, 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-39108, 0, 151848, 0, -290858, 0, 0, 0, 50698, 0, -103536, 0, -13392, 0, -118036, 0, 0, 0, -44400, 0, 287562, 0, -192128, 0, -45672, 0, 0, 0, 231420, 0, -37152, 0, 153408, 0, -57616, 0, 0, 0, 208840, 0, -37810, 0, 131382, 0, -244420, 0, 0, 0, -15390, 0, -16400, 0], 'weight': 4, '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

  
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-0.4020557328832147, -0.20484254563256749, -0.11128632526570631, -0.27939694828728406, -0.20568914104326672, -0.30514872481771604, -0.22839469669894685, -0.2317513866848015, -0.3190105755591182, -0.17915713912880998, -0.1861409508811689, -0.24266796140853586, -0.32375362918490713, -0.2577392817152084, -0.4111401933576221, -0.29471251835610784, -0.41636106475675644, -0.3032906114912879, -0.22287872544910925, -0.3102146462597699, -0.4116980569321515, -0.04096466703947247, -0.393932944542838, -0.186526143299489, -0.39744256359944546, -0.23327135504109012, -0.21395698091871937, -0.2116298887031558, -0.23820373524685104, -0.2804223955967995, -0.31211098252607544, -0.3337972432922916, -0.22373495430685286, -0.17259655950432054, -0.23358505821634576, -0.40558216583288453, -0.16281432797994821, -0.2076308625571032, -0.2703826146653698, -0.19062822186011907, -0.36059619728359854, -0.35734629520919464, -0.2279728074195857, -0.3817236893285938, -0.30500385196100605, -0.11179678079814524, -0.1802025897264288, -0.21208844929102816, -0.2248959062306058, -0.07853279245617326, -0.24246698918960033, -0.3660472411497511, -0.2595873124729968, -0.37403170640561023, -0.21220245239623442, -0.43963870652953263, -0.3069402506488007, -0.2939190807086477, -0.38986285162911877], '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': 16, 'hecke_orbit_code': 67553994477668704, 'label': '2400.4.a.p.1.1', 'level': 2400, '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': [14, 14, 13, 16, 13, 16, 14, 14], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [12, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [166, 156, 161, 156, 155, 162, 160, 162], 'Nk2': 38400, 'analytic_conductor': 141.60458401377747, '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': [2400, 1, [1951, 901, 1601, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1392, 'dim': 114, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67111264, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4], 'label': '2400.4.a', 'level': 2400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1488, 'mf_new_dim': 114, 'num_forms': 54, 'plus_dim': 60, 'prim_orbit_index': 1, 'relative_dim': 114, 'sturm_bound': 1920, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [114, 0, 0, 0, 0, 0, 0, 0, 1026, 0, 0, 0, -20, 0, 0, 0, -156, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, -24, 0, 0, 0, -372, 0, 0, 0, 1300, 0, 0, 0, 0, 0, 0, 0, 5746, 0, 0, 0, -1356, 0, 0, 0, 168, 0, 0, 0, -1636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1644, 0, 0, 0, -3136, 0, 0, 0, 9234, 0, 0, 0, 0, 0, 0, 0, -2940, 0, 0, 0, -936, 0, 0, 0, -1276, 0, 0, 0, -4348, 0, 0, 0, 0, 0, 0, 0, -3396, 0, 0, 0, 788, 0, 0, 0, -180, 0, 0, 0, 11914, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -2560, 0, 0, 0, 9364, 0, 0, 0, -1680, 0, 0, 0, 0, 0, 0, 0, 500, 0, 0, 0, -1404, 0, 0, 0, 3548, 0, 0, 0, -10752, 0, 0, 0, 0, 0, 0, 0, 8942, 0, 0, 0, 9908, 0, 0, 0, 1272, 0, 0, 0, 11820, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 1220, 0, 0, 0, 25364, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 9632, 0, 0, 0, -6720, 0, 0, 0, 10304, 0, 0, 0, 28616, 0, 0, 0, 0, 0, 0, 0, -12996, 0, 0, 0, 9220, 0, 0, 0, -8520, 0, 0, 0, 6212, 0, 0, 0, 0, 0, 0, 0, -4008, 0, 0, 0, -1248, 0, 0, 0, -3180, 0, 0, 0, -2556, 0, 0, 0, 0, 0, 0, 0, 48692, 0, 0, 0, 2160, 0, 0, 0, 24092, 0, 0, 0, 15076, 0, 0, 0, 0, 0, 0, 0, 49670, 0, 0, 0, -7948, 0, 0, 0, -216, 0, 0, 0, 56752, 0, 0, 0, 0, 0, 0, 0, 19176, 0, 0, 0, -8684, 0, 0, 0, -1404, 0, 0, 0, 9336, 0, 0, 0, 0, 0, 0, 0, -21152, 0, 0, 0, -3348, 0, 0, 0, -31868, 0, 0, 0, 3104, 0, 0, 0, 0, 0, 0, 0, 30284, 0, 0, 0, 2516, 0, 0, 0, 9744, 0, 0, 0, 28714, 0, 0, 0, 0, 0, 0, 0, 11700, 0, 0, 0, -37236, 0, 0, 0, 43576, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 7572, 0, 0, 0, -1560, 0, 0, 0, -49028, 0, 0, 0, 85620, 0, 0, 0, 0, 0, 0, 0, 17988, 0, 0, 0, -24704, 0, 0, 0, -14424, 0, 0, 0, 812, 0, 0, 0, 0, 0, 0, 0, 35184, 0, 0, 0, -3996, 0, 0, 0, 61440, 0, 0, 0, 51714, 0, 0, 0, 0, 0, 0, 0, 106004, 0, 0, 0, -5400, 0, 0, 0, 80628, 0, 0, 0, 5220, 0, 0, 0, 0, 0, 0, 0, -94928, 0, 0, 0, -21856, 0, 0, 0, -12204, 0, 0, 0, -34760, 0, 0, 0, 0, 0, 0, 0, -47736, 0, 0, 0, 87912, 0, 0, 0, -74432, 0, 0, 0, 15216, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 1512, 0, 0, 0, 131104, 0, 0, 0, 54628, 0, 0, 0, 0, 0, 0, 0, 134434, 0, 0, 0, -65640, 0, 0, 0, 66120, 0, 0, 0, 65500, 0, 0, 0, 0, 0, 0, 0, -14724, 0, 0, 0, -80768, 0, 0, 0, -147628, 0, 0, 0, -31152, 0, 0, 0, 0, 0, 0, 0, -155964, 0, 0, 0, 48192, 0, 0, 0, -89340, 0, 0, 0, -11008, 0, 0, 0, 0, 0, 0, 0, 82704, 0, 0, 0, 24084, 0, 0, 0, 49368, 0, 0, 0, -15276, 0, 0, 0, 0, 0, 0, 0, -29616, 0, 0, 0, -33268, 0, 0, 0, 101732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27976, 0, 0, 0, -14664, 0, 0, 0, -134388, 0, 0, 0, 4004, 0, 0, 0, 0, 0, 0, 0, -196928, 0, 0, 0, 71604, 0, 0, 0, -14796, 0, 0, 0, 2812, 0, 0, 0, 0, 0, 0, 0, 57096, 0, 0, 0, 137860, 0, 0, 0, 79332, 0, 0, 0, -18888, 0, 0, 0, 0, 0, 0, 0, 80520, 0, 0, 0, -28224, 0, 0, 0, 204424, 0, 0, 0, 63236, 0, 0, 0, 0, 0, 0, 0, -133508, 0, 0, 0, -39808, 0, 0, 0, -53184, 0, 0, 0, -54656, 0, 0, 0, 0, 0, 0, 0, 83106, 0, 0, 0, 129196, 0, 0, 0, -182368, 0, 0, 0, -118080, 0, 0, 0, 0, 0, 0, 0, 176704, 0, 0, 0, 46824, 0, 0, 0, 159932, 0, 0, 0, -222556, 0, 0, 0, 0, 0, 0, 0, 132100, 0, 0, 0, 43284, 0, 0, 0, 61872, 0, 0, 0, -97408, 0, 0, 0, 0, 0, 0, 0, -83280, 0, 0, 0, -113304, 0, 0, 0, -130252, 0, 0, 0, -26460, 0, 0, 0, 0, 0, 0, 0, -193420, 0, 0, 0, 13992, 0, 0, 0, -195168, 0, 0, 0, 90772, 0, 0, 0, 0, 0, 0, 0, 184172, 0, 0, 0, -32060, 0, 0, 0, -8424, 0, 0, 0, 16110, 0, 0, 0, 0, 0, 0, 0, 11784, 0, 0, 0, -173300, 0, 0, 0, 124660, 0, 0, 0, -73968, 0, 0, 0, 0, 0, 0, 0, -222624, 0, 0, 0, -11484, 0, 0, 0, -223268, 0, 0, 0, -40844, 0, 0, 0, 0, 0, 0, 0, -52288, 0, 0, 0, -49408, 0, 0, 0, -64416, 0, 0, 0, -201928, 0, 0, 0, 0, 0, 0, 0, -39132, 0, 0, 0, 99552, 0, 0, 0, 343872, 0, 0, 0, 87096, 0, 0, 0, 0, 0, 0, 0, 12276, 0, 0, 0, 35280, 0, 0, 0, 68468, 0, 0, 0, 100964, 0, 0, 0, 0, 0, 0, 0, -337688, 0, 0, 0, -24876, 0, 0, 0, -112368, 0, 0, 0, 172290, 0, 0, 0, 0, 0, 0, 0, -65808, 0, 0, 0, 17536, 0, 0, 0, -303100, 0, 0, 0, -30564, 0, 0, 0, 0, 0, 0, 0, 310016, 0, 0, 0, 41928, 0, 0, 0, 69324, 0, 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: 47950348
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994477668704, 'target_is_minimal': False, 'target_label': '2400.4.a.p.1.1', 'target_level': 2400, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47950349
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334240, 'target_is_minimal': False, 'target_label': '2400.4.a.g.1.1', 'target_level': 2400, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47950350
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591328, 'target_is_minimal': True, 'target_label': '480.4.a.e.1.1', 'target_level': 480, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47950351
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831333280, 'target_is_minimal': False, 'target_label': '1440.4.a.g.1.1', 'target_level': 1440, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 4}
  • id: 47950352
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713443808, 'target_is_minimal': True, 'target_label': '480.4.a.j.1.1', 'target_level': 480, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 47950353
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221312, 'target_is_minimal': False, 'target_label': '960.4.a.d.1.1', 'target_level': 960, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 47950354
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391124001728, 'target_is_minimal': False, 'target_label': '960.4.a.y.1.1', 'target_level': 960, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 47950355
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 67553994477668704, 'source_is_minimal': False, 'source_label': '2400.4.a.p.1.1', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949221792, 'target_is_minimal': False, 'target_label': '1440.4.a.d.1.1', 'target_level': 1440, 'twist_class_label': '480.4.a.e.1.1', 'twist_class_level': 480, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2632450
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 2}
  • id: 2632451
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 3}
  • id: 2632452
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 5}
  • id: 2632453
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 7}
  • id: 2632454
    {'charpoly_factorization': [[[-24, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 11}
  • id: 2632455
    {'charpoly_factorization': [[[38, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 13}
  • id: 2632456
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 17}
  • id: 2632457
    {'charpoly_factorization': [[[104, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 19}
  • id: 2632458
    {'charpoly_factorization': [[[-100, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 23}
  • id: 2632459
    {'charpoly_factorization': [[[-230, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 29}
  • id: 2632460
    {'charpoly_factorization': [[[-56, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 31}
  • id: 2632461
    {'charpoly_factorization': [[[190, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 37}
  • id: 2632462
    {'charpoly_factorization': [[[-202, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 41}
  • id: 2632463
    {'charpoly_factorization': [[[148, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 43}
  • id: 2632464
    {'charpoly_factorization': [[[-124, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 47}
  • id: 2632465
    {'charpoly_factorization': [[[206, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 53}
  • id: 2632466
    {'charpoly_factorization': [[[-128, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 59}
  • id: 2632467
    {'charpoly_factorization': [[[-190, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 61}
  • id: 2632468
    {'charpoly_factorization': [[[204, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 67}
  • id: 2632469
    {'charpoly_factorization': [[[-440, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 71}
  • id: 2632470
    {'charpoly_factorization': [[[1210, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 73}
  • id: 2632471
    {'charpoly_factorization': [[[816, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 79}
  • id: 2632472
    {'charpoly_factorization': [[[1412, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 83}
  • id: 2632473
    {'charpoly_factorization': [[[214, 1], 1]], 'hecke_orbit_code': 67553994477668704, 'p': 89}
  • id: 2632474
    {'charpoly_factorization': [[[1202, 1], 1]], 'hecke_orbit_code': 67553994477668704, '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': 16, 'label': '2400.4.a.p', 'level': 2400, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 61108051
    {'hecke_orbit_code': 67553994477668704, 'n': 1, 'trace_an': 1}
  • id: 61108052
    {'hecke_orbit_code': 67553994477668704, 'n': 2, 'trace_an': 0}
  • id: 61108053
    {'hecke_orbit_code': 67553994477668704, 'n': 3, 'trace_an': 3}
  • id: 61108054
    {'hecke_orbit_code': 67553994477668704, 'n': 4, 'trace_an': 0}
  • id: 61108055
    {'hecke_orbit_code': 67553994477668704, 'n': 5, 'trace_an': 0}
  • id: 61108056
    {'hecke_orbit_code': 67553994477668704, 'n': 6, 'trace_an': 0}
  • id: 61108057
    {'hecke_orbit_code': 67553994477668704, 'n': 7, 'trace_an': -12}
  • id: 61108058
    {'hecke_orbit_code': 67553994477668704, 'n': 8, 'trace_an': 0}
  • id: 61108059
    {'hecke_orbit_code': 67553994477668704, 'n': 9, 'trace_an': 9}
  • id: 61108060
    {'hecke_orbit_code': 67553994477668704, 'n': 10, 'trace_an': 0}
  • id: 61108061
    {'hecke_orbit_code': 67553994477668704, 'n': 11, 'trace_an': 24}
  • id: 61108062
    {'hecke_orbit_code': 67553994477668704, 'n': 12, 'trace_an': 0}
  • id: 61108063
    {'hecke_orbit_code': 67553994477668704, 'n': 13, 'trace_an': -38}
  • id: 61108064
    {'hecke_orbit_code': 67553994477668704, 'n': 14, 'trace_an': 0}
  • id: 61108065
    {'hecke_orbit_code': 67553994477668704, 'n': 15, 'trace_an': 0}
  • id: 61108066
    {'hecke_orbit_code': 67553994477668704, 'n': 16, 'trace_an': 0}
  • id: 61108067
    {'hecke_orbit_code': 67553994477668704, 'n': 17, 'trace_an': 6}
  • id: 61108068
    {'hecke_orbit_code': 67553994477668704, 'n': 18, 'trace_an': 0}
  • id: 61108069
    {'hecke_orbit_code': 67553994477668704, 'n': 19, 'trace_an': -104}
  • id: 61108070
    {'hecke_orbit_code': 67553994477668704, 'n': 20, 'trace_an': 0}
  • id: 61108071
    {'hecke_orbit_code': 67553994477668704, 'n': 21, 'trace_an': -36}
  • id: 61108072
    {'hecke_orbit_code': 67553994477668704, 'n': 22, 'trace_an': 0}
  • id: 61108073
    {'hecke_orbit_code': 67553994477668704, 'n': 23, 'trace_an': 100}
  • id: 61108074
    {'hecke_orbit_code': 67553994477668704, 'n': 24, 'trace_an': 0}
  • id: 61108075
    {'hecke_orbit_code': 67553994477668704, 'n': 25, 'trace_an': 0}
  • id: 61108076
    {'hecke_orbit_code': 67553994477668704, 'n': 26, 'trace_an': 0}
  • id: 61108077
    {'hecke_orbit_code': 67553994477668704, 'n': 27, 'trace_an': 27}
  • id: 61108078
    {'hecke_orbit_code': 67553994477668704, 'n': 28, 'trace_an': 0}
  • id: 61108079
    {'hecke_orbit_code': 67553994477668704, 'n': 29, 'trace_an': 230}
  • id: 61108080
    {'hecke_orbit_code': 67553994477668704, 'n': 30, 'trace_an': 0}
  • id: 61108081
    {'hecke_orbit_code': 67553994477668704, 'n': 31, 'trace_an': 56}
  • id: 61108082
    {'hecke_orbit_code': 67553994477668704, 'n': 32, 'trace_an': 0}
  • id: 61108083
    {'hecke_orbit_code': 67553994477668704, 'n': 33, 'trace_an': 72}
  • id: 61108084
    {'hecke_orbit_code': 67553994477668704, 'n': 34, 'trace_an': 0}
  • id: 61108085
    {'hecke_orbit_code': 67553994477668704, 'n': 35, 'trace_an': 0}
  • id: 61108086
    {'hecke_orbit_code': 67553994477668704, 'n': 36, 'trace_an': 0}
  • id: 61108087
    {'hecke_orbit_code': 67553994477668704, 'n': 37, 'trace_an': -190}
  • id: 61108088
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  • id: 61108091
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  • id: 61108093
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  • id: 61108101
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  • id: 61108102
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  • id: 61108110
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  • id: 61108111
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  • id: 61108113
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  • id: 61108123
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  • id: 61108131
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  • id: 61108132
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  • id: 61108140
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  • id: 61108156
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  • id: 61108158
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  • id: 61108159
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  • id: 61108160
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  • id: 61108161
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  • id: 61108162
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  • id: 61108163
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  • id: 61108165
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  • id: 61108167
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  • id: 61108168
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  • id: 61108169
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  • id: 61108170
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  • id: 61108171
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  • id: 61108172
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  • id: 61108173
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  • id: 61108174
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  • id: 61108175
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  • id: 61108176
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  • id: 61108177
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  • id: 61108179
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  • id: 61108180
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  • id: 61108181
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  • id: 61108183
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  • id: 61108184
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  • id: 61108185
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  • id: 61108186
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  • id: 61108187
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  • id: 61108188
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  • id: 61108189
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  • id: 61108190
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  • id: 61108191
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  • id: 61108192
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  • id: 61108193
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  • id: 61108194
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  • id: 61108195
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  • id: 61108196
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  • id: 61108197
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  • id: 61108198
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  • id: 61108199
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  • id: 61108200
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  • id: 61108201
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  • id: 61108202
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  • id: 61108203
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  • id: 61108204
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  • id: 61108205
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  • id: 61108206
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  • id: 61108207
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  • id: 61108208
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  • id: 61108209
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  • id: 61108210
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  • id: 61108211
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  • id: 61108212
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  • id: 61108213
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  • id: 61108214
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  • id: 61108215
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  • id: 61108216
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  • id: 61108217
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  • id: 61108218
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  • id: 61108219
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  • id: 61108220
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  • id: 61108221
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  • id: 61108222
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  • id: 61108223
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  • id: 61108224
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  • id: 61108225
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  • id: 61108226
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  • id: 61108227
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  • id: 61108228
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  • id: 61108229
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  • id: 61108230
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  • id: 61108231
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  • id: 61108233
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  • id: 61108234
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  • id: 61108235
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  • id: 61108236
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  • id: 61108237
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  • id: 61108238
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  • id: 61108239
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  • id: 61108240
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  • id: 61108241
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  • id: 61108242
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  • id: 61108243
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  • id: 61108244
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  • id: 61108245
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  • id: 61108246
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  • id: 61108248
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  • id: 61108251
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  • id: 61108253
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  • id: 61108254
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  • id: 61108255
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  • id: 61108262
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  • id: 61108265
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  • id: 61108266
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  • id: 61108268
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  • id: 61108274
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  • id: 61108277
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  • id: 61108278
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  • id: 61108280
    {'hecke_orbit_code': 67553994477668704, 'n': 821, 'trace_an': -1986}
  • id: 61108281
    {'hecke_orbit_code': 67553994477668704, 'n': 823, 'trace_an': -5236}
  • id: 61108282
    {'hecke_orbit_code': 67553994477668704, 'n': 827, 'trace_an': -26044}
  • id: 61108283
    {'hecke_orbit_code': 67553994477668704, 'n': 829, 'trace_an': 21246}
  • id: 61108284
    {'hecke_orbit_code': 67553994477668704, 'n': 839, 'trace_an': 17440}
  • id: 61108285
    {'hecke_orbit_code': 67553994477668704, 'n': 841, 'trace_an': 28511}
  • id: 61108286
    {'hecke_orbit_code': 67553994477668704, 'n': 853, 'trace_an': -33582}
  • id: 61108287
    {'hecke_orbit_code': 67553994477668704, 'n': 857, 'trace_an': 18942}
  • id: 61108288
    {'hecke_orbit_code': 67553994477668704, 'n': 859, 'trace_an': -25720}
  • id: 61108289
    {'hecke_orbit_code': 67553994477668704, 'n': 863, 'trace_an': 32436}
  • id: 61108290
    {'hecke_orbit_code': 67553994477668704, 'n': 877, 'trace_an': -8646}
  • id: 61108291
    {'hecke_orbit_code': 67553994477668704, 'n': 881, 'trace_an': 27442}
  • id: 61108292
    {'hecke_orbit_code': 67553994477668704, 'n': 883, 'trace_an': -14116}
  • id: 61108293
    {'hecke_orbit_code': 67553994477668704, 'n': 887, 'trace_an': 4124}
  • id: 61108294
    {'hecke_orbit_code': 67553994477668704, 'n': 907, 'trace_an': 42100}
  • id: 61108295
    {'hecke_orbit_code': 67553994477668704, 'n': 911, 'trace_an': -34152}
  • id: 61108296
    {'hecke_orbit_code': 67553994477668704, 'n': 919, 'trace_an': -41984}
  • id: 61108297
    {'hecke_orbit_code': 67553994477668704, 'n': 929, 'trace_an': 48434}
  • id: 61108298
    {'hecke_orbit_code': 67553994477668704, 'n': 937, 'trace_an': 25590}
  • id: 61108299
    {'hecke_orbit_code': 67553994477668704, 'n': 941, 'trace_an': -18906}
  • id: 61108300
    {'hecke_orbit_code': 67553994477668704, 'n': 947, 'trace_an': -36316}
  • id: 61108301
    {'hecke_orbit_code': 67553994477668704, 'n': 953, 'trace_an': -15890}
  • id: 61108302
    {'hecke_orbit_code': 67553994477668704, 'n': 961, 'trace_an': -26655}
  • id: 61108303
    {'hecke_orbit_code': 67553994477668704, 'n': 967, 'trace_an': 116}
  • id: 61108304
    {'hecke_orbit_code': 67553994477668704, 'n': 971, 'trace_an': -4744}
  • id: 61108305
    {'hecke_orbit_code': 67553994477668704, 'n': 977, 'trace_an': 18374}
  • id: 61108306
    {'hecke_orbit_code': 67553994477668704, 'n': 983, 'trace_an': -13036}
  • id: 61108307
    {'hecke_orbit_code': 67553994477668704, 'n': 991, 'trace_an': -15224}
  • id: 61108308
    {'hecke_orbit_code': 67553994477668704, 'n': 997, 'trace_an': 43794}