Embedded newform data - 1200.4.f.m.49.2

Formats: - HTML - YAML - JSON - 2024-04-25T15:51:49.218563

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 19200, 'analytic_conductor': 70.80229200688873, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1200, 2, [751, 901, 401, 577], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 49, 'conrey_indexes': [49], 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [400, 0, 1]], [11, [-24, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043539192939696, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1200.4.f.m', 'level': 1200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '15.4.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+3iq^{3}+20iq^{7}-9q^{9}+24q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1200.4.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 469361081389810414, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.990', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '16.383', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '168.628', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, -18, 0, 48, 0, 0, 0, 0, 0, 0, 0, -248, 0, -120, 0, 0, 0, 0, 0, 0, 0, 156, 0, -400, 0, 0, 0, 0, 0, 0, 0, -444, 0, 660, 0, 0, 0, 0, 0, 0, 0, -114, 0, 324, 0, 0, 0, 0, 0, 0, 0, 48, 0, -644, 0, 0, 0, 0, 0, 0, 0, -720, 0, 576, 0, 0, 0, 0, 0, 0, 0, -1040, 0, 162, 0, 0, 0, 0, 0, 0, 0, -2052, 0, -2960, 0, 0, 0, 0, 0, 0, 0, -432, 0, -3468, 0, 0, 0, 0, 0, 0, 0, 2948, 0, -420, 0, 0, 0, 0, 0, 0, 0, 2160, 0, -1510, 0, 0, 0, 0, 0, 0, 0, 552, 0, -4656, 0, 0, 0, 0, 0, 0, 0, 4648, 0, 144, 0, 0, 0, 0, 0, 0, 0, -516, 0, 1616, 0, 0, 0, 0, 0, 0, 0, -2700, 0, -4800, 0, 0, 0, 0, 0, 0, 0, -6558, 0, 2232, 0, 0, 0, 0, 0, 0, 0, -2880, 0, -6260, 0, 0, 0, 0, 0, 0, 0, 1080, 0, -7152, 0, 0, 0, 0, 0, 0, 0, -7664, 0, 1176, 0, 0, 0, 0, 0, 0, 0, -5952, 0, -2200, 0, 0, 0, 0, 0, 0, 0, 2580, 0, 7992, 0, 0, 0, 0, 0, 0, 0, 3812, 0, -2880, 0, 0, 0, 0, 0, 0, 0, 2352, 0, 1732, 0, 0, 0, 0, 0, 0, 0, 936, 0, -864, 0, 0, 0, 0, 0, 0, 0, -2800, 0, -1404, 0, 0, 0, 0, 0, 0, 0, 5148, 0, 6368, 0, 0, 0, 0, 0, 0, 0, 3600, 0, -16572, 0, 0, 0, 0, 0, 0, 0, 3994, 0, -1716, 0, 0, 0, 0, 0, 0, 0, -17760, 0, 3680, 0, 0, 0, 0, 0, 0, 0, 2712, 0, -3072, 0, 0, 0, 0, 0, 0, 0, 3744, 0, 8424, 0, 0, 0, 0, 0, 0, 0, 960, 0, -7384, 0, 0, 0, 0, 0, 0, 0, -6516, 0, -9600, 0, 0, 0, 0, 0, 0, 0, -12604, 0, 3996, 0, 0, 0, 0, 0, 0, 0, 9648, 0, 17034, 0, 0, 0, 0, 0, 0, 0, -5940, 0, -18000, 0, 0, 0, 0, 0, 0, 0, 2920, 0, -7464, 0, 0, 0, 0, 0, 0, 0, 28092, 0, 12960, 0, 0, 0, 0, 0, 0, 0, 14880, 0, -31884, 0, 0, 0, 0, 0, 0, 0, -17428, 0, 12708, 0, 0, 0, 0, 0, 0, 0, 23952, 0, 22108, 0, 0, 0, 0, 0, 0, 0, -10656, 0, -1440, 0, 0, 0, 0, 0, 0, 0, -19760, 0, 1026, 0, 0, 0, 0, 0, 0, 0, -18036, 0, 15840, 0, 0, 0, 0, 0, 0, 0, -2916, 0, 35124, 0, 0, 0, 0, 0, 0, 0, 7840, 0, 14268, 0, 0, 0, 0, 0, 0, 0, 4560, 0, -10360, 0, 0, 0, 0, 0, 0, 0, -312, 0, 37824, 0, 0, 0, 0, 0, 0, 0, 19912, 0, 22320, 0, 0, 0, 0, 0, 0, 0, 5532, 0, 17200, 0, 0, 0, 0, 0, 0, 0, -2556, 0, 21060, 0, 0, 0, 0, 0, 0, 0, -4466, 0, -432, 0, 0, 0, 0, 0, 0, 0, -2736, 0, 36220, 0, 0, 0, 0, 0, 0, 0, 5796, 0, -19344, 0, 0, 0, 0, 0, 0, 0, 13616, 0, 7776, 0, 0, 0, 0, 0, 0, 0, 37308, 0, 15368, 0, 0, 0, 0, 0, 0, 0, -15996, 0, 6240, 0, 0, 0, 0, 0, 0, 0, 49600, 0, -16308, 0, 0, 0, 0, 0, 0, 0, -47184, 0, -19148, 0, 0, 0, 0, 0, 0, 0, -9360, 0, 3552, 0, 0, 0, 0, 0, 0, 0, 17608, 0, 6480, 0, 0, 0, 0, 0, 0, 0, 7560, 0, 25376, 0, 0, 0, 0, 0, 0, 0, -5184, 0, -18300, 0, 0, 0, 0, 0, 0, 0, 1152, 0, 24000, 0, 0, 0, 0, 0, 0, 0, 29040, 0, -21236, 0, 0, 0, 0, 0, 0, 0, 11784, 0, -15456, 0, 0, 0, 0, 0, 0, 0, -11440, 0, -3960, 0, 0, 0, 0, 0, 0, 0, -66600, 0, -65992, 0, 0, 0, 0, 0, 0, 0, 8748, 0, -51804, 0, 0, 0, 0, 0, 0, 0, 54788, 0, 9360, 0, 0, 0, 0, 0, 0, 0, 69696, 0, 18080, 0, 0, 0, 0, 0, 0, 0, -1458, 0, -9936, 0, 0, 0, 0, 0, 0, 0, 30568, 0, 55056, 0, 0, 0, 0, 0, 0, 0, 56160, 0, -17392, 0, 0, 0, 0, 0, 0, 0, -17280, 0, 47748, 0, 0, 0, 0, 0, 0, 0, -47236, 0, 15156, 0, 0, 0, 0, 0, 0, 0, -81840, 0, 13824, 0, 0, 0, 0, 0, 0, 0, 32688, 0, -43440, 0, 0, 0, 0, 0, 0, 0, -2592, 0, 18468, 0, 0, 0, 0, 0, 0, 0, -89460, 0, 85496, 0, 0, 0, 0, 0, 0, 0, 26640, 0, -63372, 0, 0, 0, 0, 0, 0, 0, -31900, 0, 23772, 0, 0, 0, 0, 0, 0, 0, 27600, 0, -36610, 0, 0, 0, 0, 0, 0, 0, -16296, 0, -16800, 0, 0, 0, 0, 0, 0, 0, -57560, 0, -39600, 0, 0, 0, 0, 0, 0, 0, -24960, 0, 29008, 0, 0, 0, 0, 0, 0, 0, -36108, 0, -5292, 0, 0, 0, 0, 0, 0, 0, -49760, 0, 3888, 0, 0, 0, 0, 0, 0, 0, -31200, 0, 48600, 0, 0, 0, 0, 0, 0, 0, 31212, 0, 2496, 0, 0, 0, 0, 0, 0, 0, -13280, 0, -55416, 0, 0, 0, 0, 0, 0, 0, -59892, 0, 14136, 0, 0, 0, 0, 0, 0, 0, 44052, 0, 12180, 0, 0, 0, 0, 0, 0, 0, 63640, 0, -23364, 0, 0, 0, 0, 0, 0, 0, 84720, 0, 20418, 0, 0, 0, 0, 0, 0, 0, -40176, 0, -48960, 0, 0, 0, 0, 0, 0, 0, -49248, 0, -26532, 0, 0, 0, 0, 0, 0, 0, 22080, 0, -95584, 0, 0, 0, 0, 0, 0, 0, 3780, 0, -71040, 0, 0, 0, 0, 0, 0, 0, 5180, 0, -53988, 0, 0, 0, 0, 0, 0, 0, -46128, 0, -44564, 0, 0, 0, 0, 0, 0, 0, -34320, 0, 14352, 0, 0, 0, 0, 0, 0, 0, -95216, 0, -31464, 0, 0, 0, 0, 0, 0, 0, 82428, 0, -77800, 0, 0, 0, 0, 0, 0, 0, -20484, 0, -10908, 0, 0, 0, 0, 0, 0, 0, -61420, 0, -19440, 0, 0, 0, 0, 0, 0, 0, 23088, 0, 5760, 0, 0, 0, 0, 0, 0, 0, 13590, 0, 11568, 0, 0, 0, 0, 0, 0, 0, 95120, 0, 21048, 0, 0, 0, 0, 0, 0, 0, 67260, 0, -83232, 0, 0, 0, 0, 0, 0, 0, -64812, 0, -5952, 0, 0, 0, 0, 0, 0, 0, -127444, 0, -34632, 0, 0, 0, 0, 0, 0, 0, -21168, 0, -2080, 0, 0, 0, 0, 0, 0, 0, -29232, 0, 94032, 0, 0, 0, 0, 0, 0, 0, 79856, 0, -4968, 0, 0, 0, 0, 0, 0, 0, 148800, 0, -9976, 0, 0, 0, 0, 0, 0, 0, 41904, 0, 10932, 0, 0, 0, 0, 0, 0, 0, 51480, 0, -16404, 0, 0, 0, 0, 0, 0, 0, 70752, 0, -155228, 0, 0, 0, 0, 0, 0, 0, 88800, 0, -17040, 0, 0, 0, 0, 0, 0, 0, -108000, 0, -10080, 0, 0, 0, 0, 0, 0, 0, -32916, 0, 27824, 0, 0, 0, 0, 0, 0, 0, -2880, 0, -46440, 0, 0, 0, 0, 0, 0, 0, 28508, 0, -41832, 0, 0, 0, 0, 0, 0, 0, -3024, 0, -42328, 0, 0, 0, 0, 0, 0, 0, -1296, 0, -132000, 0, 0, 0, 0, 0, 0, 0, -18608, 0, 38640, 0, 0, 0, 0, 0, 0, 0, -996, 0, 142952, 0, 0, 0, 0, 0, 0, 0, 93732, 0, 118884, 0, 0, 0, 0, 0, 0, 0, 51840, 0, 89280, 0, 0, 0, 0, 0, 0, 0, -169152, 0, 65236, 0, 0, 0, 0, 0, 0, 0, -96696, 0, -100128, 0, 0, 0, 0, 0, 0, 0, 66896, 0, 4644, 0, 0, 0, 0, 0, 0, 0, -71424, 0, -106640, 0, 0, 0, 0, 0, 0, 0, -14544, 0, 160116, 0, 0, 0, 0, 0, 0, 0, 91506, 0, -22020, 0, 0, 0, 0, 0, 0, 0, -108720, 0, -58532, 0, 0, 0, 0, 0, 0, 0, 7032, 0, 207792, 0, 0, 0, 0, 0, 0, 0, 73264, 0, -41256, 0, 0, 0, 0, 0, 0, 0, -166980, 0, -16848, 0, 0, 0, 0, 0, 0, 0, 13248, 0, -8892, 0, 0, 0, 0, 0, 0, 0, -13180, 0, 24300, 0, 0, 0, 0, 0, 0, 0, -116928, 0, -111744, 0, 0, 0, 0, 0, 0, 0, 43200, 0, 72912, 0, 0, 0, 0, 0, 0, 0, 68152, 0, 18456, 0, 0, 0, 0, 0, 0, 0, -160728, 0, 135968, 0, 0, 0, 0, 0, 0, 0, 25272, 0, -45564, 0, 0, 0, 0, 0, 0, 0, -110884, 0, -34560, 0, 0, 0, 0, 0, 0, 0, 104592, 0, 128960, 0, 0, 0, 0, 0, 0, 0, -63936, 0, 52704, 0, 0, 0, 0, 0, 0, 0, 22800, 0, 59022, 0, 0, 0, 0, 0, 0, 0, 111552, 0, -37048, 0, 0, 0, 0, 0, 0, 0, -20088, 0, 47040, 0, 0, 0, 0, 0, 0, 0, -176476, 0, 3456, 0, 0, 0, 0, 0, 0, 0, 57408, 0, 78560, 0, 0, 0, 0, 0, 0, 0, 76152, 0, 186720, 0, 0, 0, 0, 0, 0, 0, 230008, 0, -64800, 0, 0, 0, 0, 0, 0, 0, -26400, 0, 12880, 0, 0, 0, 0, 0, 0, 0, -146520, 0, 170244, 0, 0, 0, 0, 0, 0, 0, 204332, 0, 25920, 0, 0, 0, 0, 0, 0, 0, -24336, 0, -65876, 0, 0, 0, 0, 0, 0, 0, 56340, 0, 58320, 0, 0, 0, 0, 0, 0, 0, -12384, 0, -21720, 0, 0, 0, 0, 0, 0, 0, 30888, 0, -184112, 0, 0, 0, 0, 0, 0, 0, 62400, 0, 38784, 0, 0, 0, 0, 0, 0, 0, 62276, 0, -84996, 0, 0, 0, 0, 0, 0, 0, 103200, 0, 79958, 0, 0, 0, 0, 0, 0, 0, -80424, 0, 254448, 0, 0, 0, 0, 0, 0, 0, -252824, 0, -9720, 0, 0, 0, 0, 0, 0, 0, 171468, 0, 3744, 0, 0, 0, 0, 0, 0, 0, 64368, 0, -76044, 0, 0, 0, 0, 0, 0, 0, 367040, 0, -10356, 0, 0, 0, 0, 0, 0, 0, 3360, 0, 145228, 0, 0, 0, 0, 0, 0, 0, -64800, 0, -48816, 0, 0, 0, 0, 0, 0, 0, 43024, 0, -63576, 0, 0, 0, 0, 0, 0, 0, -50232, 0, -115200, 0, 0, 0, 0, 0, 0, 0, -17172, 0, 313464, 0, 0, 0, 0, 0, 0, 0, -204700, 0, 68976, 0, 0, 0, 0, 0, 0, 0, 101040, 0, 1012, 0, 0, 0, 0, 0, 0, 0, -10584, 0, 63120, 0, 0, 0, 0, 0, 0, 0, -151632, 0, -104664, 0, 0, 0, 0, 0, 0, 0, -9600, 0, -56848, 0, 0, 0, 0, 0, 0, 0, 14244, 0, 217920, 0, 0, 0, 0, 0, 0, 0, 142086, 0, -72972, 0, 0, 0, 0, 0, 0, 0, -157392, 0, -217508, 0, 0, 0, 0, 0, 0, 0, 123120, 0, 218160, 0, 0, 0, 0, 0, 0, 0, -126896, 0, 53568, 0, 0, 0, 0, 0, 0, 0, 36540, 0, 128800, 0, 0, 0, 0, 0, 0, 0, 19800, 0, -84108, 0, 0, 0, 0, 0, 0, 0, 37440, 0, 25308, 0, 0, 0, 0, 0, 0, 0, 430032, 0, 117288, 0, 0, 0, 0, 0, 0, 0, 151752, 0, -113808, 0, 0, 0, 0, 0, 0, 0, 158480, 0, 16416, 0, 0, 0, 0, 0, 0, 0, 114540, 0, 283856, 0, 0, 0, 0, 0, 0, 0, -133308, 0, -63000, 0, 0, 0, 0, 0, 0, 0, -69120, 0, -23220, 0, 0, 0, 0, 0, 0, 0, -98640, 0, -108640, 0, 0, 0, 0, 0, 0, 0, -71928, 0, -150240, 0, 0, 0, 0, 0, 0, 0, -52736, 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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-0.232254798402026, -0.2908222298054771, 0.0065723912200189635, 0.02413381718714633, -0.304419599547368, -0.47071234840350057, -0.19600380160307465, -0.09601522019071321, 0.03660114182254638, -0.2951850195140498, -0.3851143772124419, 0.04516798870996058, -0.473213407900362, -0.2735632876605802], 'char_orbit_index': 6, 'conrey_index': 49, 'dual_conrey_index': 49, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 13, 'hecke_orbit_code': 54043539192939696, 'label': '1200.4.f.m.49.2', 'level': 1200, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 19200, 'analytic_conductor': 70.80229200688873, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1200, 2, [751, 901, 401, 577], [2, 2, 2, 1]], 'conrey_index': 49, 'cusp_dim': 684, 'dim': 54, 'eis_dim': 72, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 343664493744, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4], 'label': '1200.4.f', 'level': 1200, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 756, 'mf_new_dim': 54, 'num_forms': 24, 'prim_orbit_index': 2, 'relative_dim': 54, 'sturm_bound': 960, 'trace_bound': 19, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, -486, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 0, 0, 0, 0, 284, 0, 636, 0, 0, 0, 0, 0, 0, 0, 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• 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: 47586979
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 54043539192939696, 'target_is_minimal': False, 'target_label': '1200.4.f.m.49.2', 'target_level': 1200, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47586980
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 68786585675, 'target_is_minimal': False, 'target_label': '75.4.b.a.49.1', 'target_level': 75, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47586981
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 22517998203961584, 'target_is_minimal': False, 'target_label': '240.4.a.f.1.1', 'target_level': 240, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47586982
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 63050394850297008, 'target_is_minimal': False, 'target_label': '1200.4.a.o.1.1', 'target_level': 1200, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47586983
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043539192939696, 'target_is_minimal': False, 'target_label': '1200.4.f.m.49.1', 'target_level': 1200, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 47586984
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867668697313, 'target_is_minimal': False, 'target_label': '225.4.b.d.199.2', 'target_level': 225, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 47586985
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 76561193732408016, 'target_is_minimal': False, 'target_label': '720.4.a.r.1.1', 'target_level': 720, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47586986
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67108939, 'target_is_minimal': False, 'target_label': '75.4.a.a.1.1', 'target_level': 75, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47586987
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479375, 'target_is_minimal': True, 'target_label': '15.4.a.b.1.1', 'target_level': 15, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 47586988
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 49, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 68786585675, 'target_is_minimal': False, 'target_label': '75.4.b.a.49.2', 'target_level': 75, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
  • id: 47586989
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 153122387397706688, 'target_is_minimal': False, 'target_label': '960.4.a.bi.1.1', 'target_level': 960, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 47586990
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539595968185280, 'target_is_minimal': False, 'target_label': '960.4.a.l.1.1', 'target_level': 960, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 4}
  • id: 47586991
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831332065, 'target_is_minimal': False, 'target_label': '225.4.a.g.1.1', 'target_level': 225, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 4}
  • id: 47586992
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599694479405, 'target_is_minimal': False, 'target_label': '45.4.a.b.1.1', 'target_level': 45, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 47586993
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 199, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510867668697313, 'target_is_minimal': False, 'target_label': '225.4.b.d.199.1', 'target_level': 225, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 4}
  • id: 47586994
    {'conductor': 140, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797086073567, 'target_is_minimal': False, 'target_label': '735.4.a.i.1.1', 'target_level': 735, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '140.27', 'twisting_conrey_index': 27, 'weight': 4}
  • id: 47586995
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 271, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073827127701, 'target_is_minimal': False, 'target_label': '405.4.e.d.271.1', 'target_level': 405, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '180.7', 'twisting_conrey_index': 7, 'weight': 4}
  • id: 47586996
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 271, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036271218721173, 'target_is_minimal': False, 'target_label': '405.4.e.k.271.1', 'target_level': 405, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '180.47', 'twisting_conrey_index': 47, 'weight': 4}
  • id: 47586997
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 136, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511073827127701, 'target_is_minimal': False, 'target_label': '405.4.e.d.136.1', 'target_level': 405, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '180.67', 'twisting_conrey_index': 67, 'weight': 4}
  • id: 47586998
    {'conductor': 180, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 136, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45036271218721173, 'target_is_minimal': False, 'target_label': '405.4.e.k.136.1', 'target_level': 405, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '180.167', 'twisting_conrey_index': 167, 'weight': 4}
  • id: 47586999
    {'conductor': 220, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67110679, 'target_is_minimal': False, 'target_label': '1815.4.a.a.1.1', 'target_level': 1815, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '220.87', 'twisting_conrey_index': 87, 'weight': 4}
  • id: 47587000
    {'conductor': 420, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 49, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 54043539192939696, 'source_is_minimal': False, 'source_label': '1200.4.f.m.49.2', 'source_level': 1200, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199321852061, 'target_is_minimal': False, 'target_label': '2205.4.a.c.1.1', 'target_level': 2205, 'twist_class_label': '15.4.a.b.1.1', 'twist_class_level': 15, 'twisting_char_label': '420.167', 'twisting_conrey_index': 167, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1765025
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 2}
  • id: 1765026
    {'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 3}
  • id: 1765027
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 5}
  • id: 1765028
    {'charpoly_factorization': [[[400, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 7}
  • id: 1765029
    {'charpoly_factorization': [[[-24, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 11}
  • id: 1765030
    {'charpoly_factorization': [[[5476, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 13}
  • id: 1765031
    {'charpoly_factorization': [[[2916, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 17}
  • id: 1765032
    {'charpoly_factorization': [[[124, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 19}
  • id: 1765033
    {'charpoly_factorization': [[[14400, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 23}
  • id: 1765034
    {'charpoly_factorization': [[[-78, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 29}
  • id: 1765035
    {'charpoly_factorization': [[[200, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 31}
  • id: 1765036
    {'charpoly_factorization': [[[4900, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 37}
  • id: 1765037
    {'charpoly_factorization': [[[-330, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 41}
  • id: 1765038
    {'charpoly_factorization': [[[8464, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 43}
  • id: 1765039
    {'charpoly_factorization': [[[576, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 47}
  • id: 1765040
    {'charpoly_factorization': [[[202500, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 53}
  • id: 1765041
    {'charpoly_factorization': [[[-24, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 59}
  • id: 1765042
    {'charpoly_factorization': [[[322, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 61}
  • id: 1765043
    {'charpoly_factorization': [[[38416, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 67}
  • id: 1765044
    {'charpoly_factorization': [[[-288, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 71}
  • id: 1765045
    {'charpoly_factorization': [[[184900, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 73}
  • id: 1765046
    {'charpoly_factorization': [[[520, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 79}
  • id: 1765047
    {'charpoly_factorization': [[[24336, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, 'p': 83}
  • id: 1765048
    {'charpoly_factorization': [[[1026, 1], 2]], 'hecke_orbit_code': 54043539192939696, 'p': 89}
  • id: 1765049
    {'charpoly_factorization': [[[81796, 0, 1], 1]], 'hecke_orbit_code': 54043539192939696, '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': 6, 'hecke_orbit': 13, 'label': '1200.4.f.m', 'level': 1200, '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: 225446000
    {'hecke_orbit_code': 54043539192939696, 'n': 1, 'trace_an': 2}
  • id: 225446001
    {'hecke_orbit_code': 54043539192939696, 'n': 2, 'trace_an': 0}
  • id: 225446002
    {'hecke_orbit_code': 54043539192939696, 'n': 3, 'trace_an': 0}
  • id: 225446003
    {'hecke_orbit_code': 54043539192939696, 'n': 4, 'trace_an': 0}
  • id: 225446004
    {'hecke_orbit_code': 54043539192939696, 'n': 5, 'trace_an': 0}
  • id: 225446005
    {'hecke_orbit_code': 54043539192939696, 'n': 6, 'trace_an': 0}
  • id: 225446006
    {'hecke_orbit_code': 54043539192939696, 'n': 7, 'trace_an': 0}
  • id: 225446007
    {'hecke_orbit_code': 54043539192939696, 'n': 8, 'trace_an': 0}
  • id: 225446008
    {'hecke_orbit_code': 54043539192939696, 'n': 9, 'trace_an': -18}
  • id: 225446009
    {'hecke_orbit_code': 54043539192939696, 'n': 10, 'trace_an': 0}
  • id: 225446010
    {'hecke_orbit_code': 54043539192939696, 'n': 11, 'trace_an': 48}
  • id: 225446011
    {'hecke_orbit_code': 54043539192939696, 'n': 12, 'trace_an': 0}
  • id: 225446012
    {'hecke_orbit_code': 54043539192939696, 'n': 13, 'trace_an': 0}
  • id: 225446013
    {'hecke_orbit_code': 54043539192939696, 'n': 14, 'trace_an': 0}
  • id: 225446014
    {'hecke_orbit_code': 54043539192939696, 'n': 15, 'trace_an': 0}
  • id: 225446015
    {'hecke_orbit_code': 54043539192939696, 'n': 16, 'trace_an': 0}
  • id: 225446016
    {'hecke_orbit_code': 54043539192939696, 'n': 17, 'trace_an': 0}
  • id: 225446017
    {'hecke_orbit_code': 54043539192939696, 'n': 18, 'trace_an': 0}
  • id: 225446018
    {'hecke_orbit_code': 54043539192939696, 'n': 19, 'trace_an': -248}
  • id: 225446019
    {'hecke_orbit_code': 54043539192939696, 'n': 20, 'trace_an': 0}
  • id: 225446020
    {'hecke_orbit_code': 54043539192939696, 'n': 21, 'trace_an': -120}
  • id: 225446021
    {'hecke_orbit_code': 54043539192939696, 'n': 22, 'trace_an': 0}
  • id: 225446022
    {'hecke_orbit_code': 54043539192939696, 'n': 23, 'trace_an': 0}
  • id: 225446023
    {'hecke_orbit_code': 54043539192939696, 'n': 24, 'trace_an': 0}
  • id: 225446024
    {'hecke_orbit_code': 54043539192939696, 'n': 25, 'trace_an': 0}
  • id: 225446025
    {'hecke_orbit_code': 54043539192939696, 'n': 26, 'trace_an': 0}
  • id: 225446026
    {'hecke_orbit_code': 54043539192939696, 'n': 27, 'trace_an': 0}
  • id: 225446027
    {'hecke_orbit_code': 54043539192939696, 'n': 28, 'trace_an': 0}
  • id: 225446028
    {'hecke_orbit_code': 54043539192939696, 'n': 29, 'trace_an': 156}
  • id: 225446029
    {'hecke_orbit_code': 54043539192939696, 'n': 30, 'trace_an': 0}
  • id: 225446030
    {'hecke_orbit_code': 54043539192939696, 'n': 31, 'trace_an': -400}
  • id: 225446031
    {'hecke_orbit_code': 54043539192939696, 'n': 32, 'trace_an': 0}
  • id: 225446032
    {'hecke_orbit_code': 54043539192939696, 'n': 33, 'trace_an': 0}
  • id: 225446033
    {'hecke_orbit_code': 54043539192939696, 'n': 34, 'trace_an': 0}
  • id: 225446034
    {'hecke_orbit_code': 54043539192939696, 'n': 35, 'trace_an': 0}
  • id: 225446035
    {'hecke_orbit_code': 54043539192939696, 'n': 36, 'trace_an': 0}
  • id: 225446036
    {'hecke_orbit_code': 54043539192939696, 'n': 37, 'trace_an': 0}
  • id: 225446037
    {'hecke_orbit_code': 54043539192939696, 'n': 38, 'trace_an': 0}
  • id: 225446038
    {'hecke_orbit_code': 54043539192939696, 'n': 39, 'trace_an': -444}
  • id: 225446039
    {'hecke_orbit_code': 54043539192939696, 'n': 40, 'trace_an': 0}
  • id: 225446040
    {'hecke_orbit_code': 54043539192939696, 'n': 41, 'trace_an': 660}
  • id: 225446041
    {'hecke_orbit_code': 54043539192939696, 'n': 42, 'trace_an': 0}
  • id: 225446042
    {'hecke_orbit_code': 54043539192939696, 'n': 43, 'trace_an': 0}
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