Embedded newform data - 1080.4.a.n.1.3

Formats: - HTML - YAML - JSON - 2026-04-18T00:40:20.402202

• 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': 17280, 'analytic_conductor': 63.722062806199865, 'analytic_rank': 0, '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': [1080, 1, [271, 541, 1001, 217], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 47977, 'field_disc_factorization': [[47977, 1]], 'field_poly': [-44, -60, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [5524, -588, -9, 1]], [11, [76426, -3081, -18, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58546795222926392, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 18, 'hecke_ring_index_factorization': [[2, 1], [3, 2]], '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': True, 'label': '1080.4.a.n', 'level': 1080, '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': '1080.4.a.h', 'nf_label': '3.3.47977.1', 'prim_orbit_index': 1, 'qexp_display': 'q+5q^{5}+(3+\\beta _{2})q^{7}+(6+\\beta _{1}-\\beta _{2})q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1080.4.a', 'trace_display': [0, 0, 15, 9], 'trace_hash': 2244251293053250970, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.008', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.600', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '276.002', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, 15, 0, 9, 0, 0, 0, 18, 0, -21, 0, 0, 0, 84, 0, 21, 0, 0, 0, 48, 0, 75, 0, 0, 0, -36, 0, 324, 0, 0, 0, 45, 0, 33, 0, 0, 0, 114, 0, 282, 0, 0, 0, 282, 0, 228, 0, 0, 0, 222, 0, 90, 0, 0, 0, -276, 0, 303, 0, 0, 0, -105, 0, 1035, 0, 0, 0, 510, 0, 447, 0, 0, 0, -1578, 0, 777, 0, 0, 0, 78, 0, 420, 0, 0, 0, -324, 0, 1995, 0, 0, 0, 105, 0, 1191, 0, 0, 0, -1218, 0, 2361, 0, 0, 0, 1398, 0, 1278, 0, 0, 0, -2178, 0, 240, 0, 0, 0, -576, 0, 2493, 0, 0, 0, 375, 0, 3408, 0, 0, 0, 1572, 0, 3753, 0, 0, 0, 30, 0, 5463, 0, 0, 0, 1356, 0, -180, 0, 0, 0, -2850, 0, -747, 0, 0, 0, 1620, 0, 7710, 0, 0, 0, -1086, 0, 1023, 0, 0, 0, 5208, 0, 1212, 0, 0, 0, -4176, 0, 225, 0, 0, 0, 798, 0, 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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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-0.07388763972127267, -0.20559227619863277, -0.11655148787213235, -0.19571322497352694, -0.36173559135860706, -0.08914287247163187, -0.3548084017064486, -0.3054165916701763, -0.17261680198939203, -0.30027430478926764, -0.2949300848656812, -0.3400841996978632, -0.07643123408159985, -0.20028297232641687, -0.3439872904990167, -0.19218609419376756, -0.26646846531775403, -0.204242945168086, -0.3632037903853122, -0.17061710358902107, -0.2498339071493044, -0.17226203964444697, -0.328998917428184, -0.13378905920763037, -0.055413332493131844, -0.27400939589053924, -0.3474248810252707, -0.25976583883893084, -0.17151897008034783, -0.4348130615920435, -0.2606345753260795, -0.4208092016314415, -0.35552180242800063, -0.16121616494651908, -0.16385213081943564, -0.3191301399676221, -0.25374727935667674, -0.33879948696401513, -0.3725278842081975, -0.3167135680534479, -0.2854504343567863, -0.35819325849397554, -0.27489571275833985, -0.29948103920954455, -0.14026157469005193, -0.33061848522393245, -0.48121021982400336, -0.23387817705293568, -0.4395088833981388, -0.4235261809555278, -0.1320724910167125, -0.3039389039709266, -0.1668525101871536, -0.1264699786762268, -0.272497536683825, -0.20398796102310582, -0.39848241842088283, -0.4043121069517211, -0.23277725150018558, -0.281956425723203, -0.1045979354872026, -0.2106937665582351, -0.11193824448340402, -0.30204524158173873, -0.11393652973843768, -0.3227881462641391, -0.3405686307181205, -0.08439343923200586, -0.14438683783556763, -0.14575580570796318, -0.2579490807789887, -0.09425816293010572, -0.15301790201592694, -0.15020769246847354, -0.19396102912679344, -0.3088193513031375, -0.20963812994232794, -0.4204099146349319, -0.1554808033647871, -0.3086713983561969, -0.3535640599682572, -0.1588682173714152, -0.34296630883170776, -0.25809091275866086, -0.15693542419506792, -0.25785462145804, -0.047094375683687906, -0.388165600439658, -0.1789184077834006, -0.12196341186321305, -0.2510523674115435, -0.2803062093942084, -0.18685270933566547, -0.21460392727375288, -0.13062163768353194, -0.18617558852567598, -0.4121148179214124, -0.391204129965796], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -6.835751744963614, 'hecke_orbit': 14, 'hecke_orbit_code': 58546795222926392, 'label': '1080.4.a.n.1.3', 'level': 1080, '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': [7, 6, 5, 6, 6, 7, 6, 5], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [77, 69, 67, 75, 72, 68, 72, 76], 'Nk2': 17280, 'analytic_conductor': 63.722062806199865, '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': [1080, 1, [271, 541, 1001, 217], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 624, 'dim': 48, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67109944, 'hecke_orbit_dims': [2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4], 'label': '1080.4.a', 'level': 1080, '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': 672, 'mf_new_dim': 48, 'num_forms': 16, 'plus_dim': 26, 'prim_orbit_index': 1, 'relative_dim': 48, 'sturm_bound': 864, 'trace_bound': 7, 'trace_display': [0, 0, 0, -36], 'traces': [48, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 1200, 0, 0, 0, 0, 0, -588, 0, 0, 0, 0, 0, -420, 0, 0, 0, 0, 0, 360, 0, 0, 0, 0, 0, 2652, 0, 0, 0, 0, 0, 180, 0, 0, 0, 0, 0, -900, 0, 0, 0, 0, 0, -492, 0, 0, 0, 0, 0, -180, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9012, 0, 0, 0, 0, 0, 228, 0, 0, 0, 0, 0, -2004, 0, 0, 0, 0, 0, -4464, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 14556, 0, 0, 0, 0, 0, 11736, 0, 0, 0, 0, 0, 7188, 0, 0, 0, 0, 0, -2652, 0, 0, 0, 0, 0, 540, 0, 0, 0, 0, 0, 5472, 0, 0, 0, 0, 0, 5352, 0, 0, 0, 0, 0, 4332, 0, 0, 0, 0, 0, 9960, 0, 0, 0, 0, 0, -900, 0, 0, 0, 0, 0, -9396, 0, 0, 0, 0, 0, -1512, 0, 0, 0, 0, 0, 3612, 0, 0, 0, 0, 0, 18720, 0, 0, 0, 0, 0, 1560, 0, 0, 0, 0, 0, -4404, 0, 0, 0, 0, 0, -15792, 0, 0, 0, 0, 0, 18408, 0, 0, 0, 0, 0, 15576, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 0, 0, -8016, 0, 0, 0, 0, 0, -8508, 0, 0, 0, 0, 0, -2160, 0, 0, 0, 0, 0, -23556, 0, 0, 0, 0, 0, 1080, 0, 0, 0, 0, 0, 14052, 0, 0, 0, 0, 0, 11184, 0, 0, 0, 0, 0, 21576, 0, 0, 0, 0, 0, 6420, 0, 0, 0, 0, 0, 3720, 0, 0, 0, 0, 0, 6000, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, 0, -396, 0, 0, 0, 0, 0, -21996, 0, 0, 0, 0, 0, 900, 0, 0, 0, 0, 0, 2076, 0, 0, 0, 0, 0, 15036, 0, 0, 0, 0, 0, -12972, 0, 0, 0, 0, 0, 16860, 0, 0, 0, 0, 0, -2040, 0, 0, 0, 0, 0, -6732, 0, 0, 0, 0, 0, -108, 0, 0, 0, 0, 0, -38316, 0, 0, 0, 0, 0, 2628, 0, 0, 0, 0, 0, -27120, 0, 0, 0, 0, 0, -73428, 0, 0, 0, 0, 0, 24408, 0, 0, 0, 0, 0, -71016, 0, 0, 0, 0, 0, -27336, 0, 0, 0, 0, 0, -5040, 0, 0, 0, 0, 0, -10020, 0, 0, 0, 0, 0, 66396, 0, 0, 0, 0, 0, 8784, 0, 0, 0, 0, 0, 11880, 0, 0, 0, 0, 0, 7920, 0, 0, 0, 0, 0, -77976, 0, 0, 0, 0, 0, -29112, 0, 0, 0, 0, 0, -9732, 0, 0, 0, 0, 0, -55404, 0, 0, 0, 0, 0, -4500, 0, 0, 0, 0, 0, -29268, 0, 0, 0, 0, 0, -49020, 0, 0, 0, 0, 0, -85584, 0, 0, 0, 0, 0, 58344, 0, 0, 0, 0, 0, 13620, 0, 0, 0, 0, 0, 73236, 0, 0, 0, 0, 0, -101928, 0, 0, 0, 0, 0, 11196, 0, 0, 0, 0, 0, 52212, 0, 0, 0, 0, 0, -3720, 0, 0, 0, 0, 0, 8340, 0, 0, 0, 0, 0, 8964, 0, 0, 0, 0, 0, -10404, 0, 0, 0, 0, 0, -78828, 0, 0, 0, 0, 0, 5640, 0, 0, 0, 0, 0, 75540, 0, 0, 0, 0, 0, 45156, 0, 0, 0, 0, 0, 47928, 0, 0, 0, 0, 0, -57840, 0, 0, 0, 0, 0, -32040, 0, 0, 0, 0, 0, -94452, 0, 0, 0, 0, 0, -124476, 0, 0, 0, 0, 0, 44388, 0, 0, 0, 0, 0, -173004, 0, 0, 0, 0, 0, 30000, 0, 0, 0, 0, 0, -252, 0, 0, 0, 0, 0, 40104, 0, 0, 0, 0, 0, 121080, 0, 0, 0, 0, 0, 23712, 0, 0, 0, 0, 0, 49020, 0, 0, 0, 0, 0, 40932, 0, 0, 0, 0, 0, -124056, 0, 0, 0, 0, 0, 91788, 0, 0, 0, 0, 0, -34668, 0, 0, 0, 0, 0, 28680, 0, 0, 0, 0, 0, -15456, 0, 0, 0, 0, 0, -92976, 0, 0, 0, 0, 0, 29628, 0, 0, 0, 0, 0, 19644, 0, 0, 0, 0, 0, -66960, 0, 0, 0, 0, 0, 147708, 0, 0, 0, 0, 0, 39552, 0, 0, 0, 0, 0, -18552, 0, 0, 0, 0, 0, 47424, 0, 0, 0, 0, 0, -19740, 0, 0, 0, 0, 0, 60504, 0, 0, 0, 0, 0, 78156, 0, 0, 0, 0, 0, 50208, 0, 0, 0, 0, 0, 19488, 0, 0, 0, 0, 0, -14700, 0, 0, 0, 0, 0, -53064, 0, 0, 0, 0, 0, 255852, 0, 0, 0, 0, 0, -282372, 0, 0, 0, 0, 0, -88500, 0, 0, 0, 0, 0, 7200, 0, 0, 0, 0, 0, 87528, 0, 0, 0, 0, 0, -230352, 0, 0, 0, 0, 0, -162084, 0, 0, 0, 0, 0, 165180, 0, 0, 0, 0, 0, 18480, 0, 0, 0, 0, 0, -34644, 0, 0, 0, 0, 0, 15780, 0, 0, 0, 0, 0, 62292, 0, 0, 0, 0, 0, 157380, 0, 0, 0, 0, 0, 59880, 0, 0, 0, 0, 0, 221004, 0, 0, 0, 0, 0, 157836, 0, 0, 0, 0, 0, -3756, 0, 0, 0, 0, 0, 308544, 0, 0, 0, 0, 0, -52200, 0, 0, 0, 0, 0, -111480, 0, 0, 0, 0, 0, -81756, 0, 0, 0, 0, 0, -86304, 0, 0, 0, 0, 0, 138180, 0, 0, 0, 0, 0, -10500, 0, 0, 0, 0, 0, -4440, 0, 0, 0, 0, 0, 140628, 0, 0, 0, 0, 0, 82656, 0, 0, 0, 0, 0, 177204, 0, 0, 0, 0, 0, -23640, 0, 0, 0, 0, 0, 87396, 0, 0, 0, 0, 0, 41748, 0, 0, 0, 0, 0, -64428, 0, 0, 0, 0, 0, -38808, 0, 0, 0, 0, 0, 131400, 0, 0, 0, 0, 0, -504, 0, 0, 0, 0, 0, 126168, 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: 47697221
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546795222926392, 'source_is_minimal': True, 'source_label': '1080.4.a.n.1.3', 'source_level': 1080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 58546795222926392, 'target_is_minimal': True, 'target_label': '1080.4.a.n.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 47697222
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546795222926392, 'source_is_minimal': True, 'source_label': '1080.4.a.n.1.3', 'source_level': 1080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31525197458703416, 'target_is_minimal': True, 'target_label': '1080.4.a.h.1.3', 'target_level': 1080, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 47697223
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546795222926392, 'source_is_minimal': True, 'source_label': '1080.4.a.n.1.3', 'source_level': 1080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 175640385534560368, 'target_is_minimal': False, 'target_label': '2160.4.a.bn.1.1', 'target_level': 2160, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 47697224
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 58546795222926392, 'source_is_minimal': True, 'source_label': '1080.4.a.n.1.3', 'source_level': 1080, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 139611588515596400, 'target_is_minimal': False, 'target_label': '2160.4.a.bf.1.1', 'target_level': 2160, 'twist_class_label': '1080.4.a.h.1.3', 'twist_class_level': 1080, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1662925
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 58546795222926392, 'p': 2}
  • id: 1662926
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 58546795222926392, 'p': 3}
  • id: 1662927
    {'charpoly_factorization': [[[-5, 1], 3]], 'hecke_orbit_code': 58546795222926392, 'p': 5}
  • id: 1662928
    {'charpoly_factorization': [[[5524, -588, -9, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 7}
  • id: 1662929
    {'charpoly_factorization': [[[76426, -3081, -18, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 11}
  • id: 1662930
    {'charpoly_factorization': [[[-30901, -3681, 21, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 13}
  • id: 1662931
    {'charpoly_factorization': [[[86732, -33, -84, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 17}
  • id: 1662932
    {'charpoly_factorization': [[[138464, -5388, -21, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 19}
  • id: 1662933
    {'charpoly_factorization': [[[2038, 153, -48, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 23}
  • id: 1662934
    {'charpoly_factorization': [[[-3034586, -41655, 36, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 29}
  • id: 1662935
    {'charpoly_factorization': [[[9213176, -18813, -324, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 31}
  • id: 1662936
    {'charpoly_factorization': [[[2851956, -44748, -33, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 37}
  • id: 1662937
    {'charpoly_factorization': [[[1847232, -81144, -114, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 41}
  • id: 1662938
    {'charpoly_factorization': [[[1113236, -17943, -282, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 43}
  • id: 1662939
    {'charpoly_factorization': [[[-11238296, -158643, -282, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 47}
  • id: 1662940
    {'charpoly_factorization': [[[-5908896, -164016, -222, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 53}
  • id: 1662941
    {'charpoly_factorization': [[[92, 1], 3]], 'hecke_orbit_code': 58546795222926392, 'p': 59}
  • id: 1662942
    {'charpoly_factorization': [[[13330220, -60876, -303, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 61}
  • id: 1662943
    {'charpoly_factorization': [[[849676336, -838416, -1035, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 67}
  • id: 1662944
    {'charpoly_factorization': [[[11439360, 24552, -510, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 71}
  • id: 1662945
    {'charpoly_factorization': [[[78574428, -509940, -447, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 73}
  • id: 1662946
    {'charpoly_factorization': [[[-14000175, -351945, -777, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 79}
  • id: 1662947
    {'charpoly_factorization': [[[-87546568, -832644, -78, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 83}
  • id: 1662948
    {'charpoly_factorization': [[[92454912, -508608, 324, 1], 1]], 'hecke_orbit_code': 58546795222926392, 'p': 89}
  • id: 1662949
    {'charpoly_factorization': [[[31736348, -183012, -1191, 1], 1]], 'hecke_orbit_code': 58546795222926392, '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': 14, 'label': '1080.4.a.n', 'level': 1080, '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: 59064433
    {'hecke_orbit_code': 58546795222926392, 'n': 1, 'trace_an': 3}
  • id: 59064434
    {'hecke_orbit_code': 58546795222926392, 'n': 2, 'trace_an': 0}
  • id: 59064435
    {'hecke_orbit_code': 58546795222926392, 'n': 3, 'trace_an': 0}
  • id: 59064436
    {'hecke_orbit_code': 58546795222926392, 'n': 4, 'trace_an': 0}
  • id: 59064437
    {'hecke_orbit_code': 58546795222926392, 'n': 5, 'trace_an': 15}
  • id: 59064438
    {'hecke_orbit_code': 58546795222926392, 'n': 6, 'trace_an': 0}
  • id: 59064439
    {'hecke_orbit_code': 58546795222926392, 'n': 7, 'trace_an': 9}
  • id: 59064440
    {'hecke_orbit_code': 58546795222926392, 'n': 8, 'trace_an': 0}
  • id: 59064441
    {'hecke_orbit_code': 58546795222926392, 'n': 9, 'trace_an': 0}
  • id: 59064442
    {'hecke_orbit_code': 58546795222926392, 'n': 10, 'trace_an': 0}
  • id: 59064443
    {'hecke_orbit_code': 58546795222926392, 'n': 11, 'trace_an': 18}
  • id: 59064444
    {'hecke_orbit_code': 58546795222926392, 'n': 12, 'trace_an': 0}
  • id: 59064445
    {'hecke_orbit_code': 58546795222926392, 'n': 13, 'trace_an': -21}
  • id: 59064446
    {'hecke_orbit_code': 58546795222926392, 'n': 14, 'trace_an': 0}
  • id: 59064447
    {'hecke_orbit_code': 58546795222926392, 'n': 15, 'trace_an': 0}
  • id: 59064448
    {'hecke_orbit_code': 58546795222926392, 'n': 16, 'trace_an': 0}
  • id: 59064449
    {'hecke_orbit_code': 58546795222926392, 'n': 17, 'trace_an': 84}
  • id: 59064450
    {'hecke_orbit_code': 58546795222926392, 'n': 18, 'trace_an': 0}
  • id: 59064451
    {'hecke_orbit_code': 58546795222926392, 'n': 19, 'trace_an': 21}
  • id: 59064452
    {'hecke_orbit_code': 58546795222926392, 'n': 20, 'trace_an': 0}
  • id: 59064453
    {'hecke_orbit_code': 58546795222926392, 'n': 21, 'trace_an': 0}
  • id: 59064454
    {'hecke_orbit_code': 58546795222926392, 'n': 22, 'trace_an': 0}
  • id: 59064455
    {'hecke_orbit_code': 58546795222926392, 'n': 23, 'trace_an': 48}
  • id: 59064456
    {'hecke_orbit_code': 58546795222926392, 'n': 24, 'trace_an': 0}
  • id: 59064457
    {'hecke_orbit_code': 58546795222926392, 'n': 25, 'trace_an': 75}
  • id: 59064458
    {'hecke_orbit_code': 58546795222926392, 'n': 26, 'trace_an': 0}
  • id: 59064459
    {'hecke_orbit_code': 58546795222926392, 'n': 27, 'trace_an': 0}
  • id: 59064460
    {'hecke_orbit_code': 58546795222926392, 'n': 28, 'trace_an': 0}
  • id: 59064461
    {'hecke_orbit_code': 58546795222926392, 'n': 29, 'trace_an': -36}
  • id: 59064462
    {'hecke_orbit_code': 58546795222926392, 'n': 30, 'trace_an': 0}
  • id: 59064463
    {'hecke_orbit_code': 58546795222926392, 'n': 31, 'trace_an': 324}
  • id: 59064464
    {'hecke_orbit_code': 58546795222926392, 'n': 32, 'trace_an': 0}
  • id: 59064465
    {'hecke_orbit_code': 58546795222926392, 'n': 33, 'trace_an': 0}
  • id: 59064466
    {'hecke_orbit_code': 58546795222926392, 'n': 34, 'trace_an': 0}
  • id: 59064467
    {'hecke_orbit_code': 58546795222926392, 'n': 35, 'trace_an': 45}
  • id: 59064468
    {'hecke_orbit_code': 58546795222926392, 'n': 36, 'trace_an': 0}
  • id: 59064469
    {'hecke_orbit_code': 58546795222926392, 'n': 37, 'trace_an': 33}
  • id: 59064470
    {'hecke_orbit_code': 58546795222926392, 'n': 38, 'trace_an': 0}
  • id: 59064471
    {'hecke_orbit_code': 58546795222926392, 'n': 39, 'trace_an': 0}
  • id: 59064472
    {'hecke_orbit_code': 58546795222926392, 'n': 40, 'trace_an': 0}
  • id: 59064473
    {'hecke_orbit_code': 58546795222926392, 'n': 41, 'trace_an': 114}
  • id: 59064474
    {'hecke_orbit_code': 58546795222926392, 'n': 42, 'trace_an': 0}
  • id: 59064475
    {'hecke_orbit_code': 58546795222926392, 'n': 43, 'trace_an': 282}
  • id: 59064476
    {'hecke_orbit_code': 58546795222926392, 'n': 44, 'trace_an': 0}
  • id: 59064477
    {'hecke_orbit_code': 58546795222926392, 'n': 45, 'trace_an': 0}
  • id: 59064478
    {'hecke_orbit_code': 58546795222926392, 'n': 46, 'trace_an': 0}
  • id: 59064479
    {'hecke_orbit_code': 58546795222926392, 'n': 47, 'trace_an': 282}
  • id: 59064480
    {'hecke_orbit_code': 58546795222926392, 'n': 48, 'trace_an': 0}
  • id: 59064481
    {'hecke_orbit_code': 58546795222926392, 'n': 49, 'trace_an': 228}
  • id: 59064482
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  • id: 59064483
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  • id: 59064484
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  • id: 59064485
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  • id: 59064486
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  • id: 59064487
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  • id: 59064488
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  • id: 59064489
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  • id: 59064490
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  • id: 59064491
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  • id: 59064492
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  • id: 59064493
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  • id: 59064494
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  • id: 59064495
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  • id: 59064496
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  • id: 59064497
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  • id: 59064498
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  • id: 59064499
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  • id: 59064500
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  • id: 59064501
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  • id: 59064502
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  • id: 59064503
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  • id: 59064504
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  • id: 59064505
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  • id: 59064506
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  • id: 59064507
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  • id: 59064508
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  • id: 59064509
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  • id: 59064510
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  • id: 59064511
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  • id: 59064512
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  • id: 59064513
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  • id: 59064514
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  • id: 59064515
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  • id: 59064516
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  • id: 59064517
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  • id: 59064518
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  • id: 59064519
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  • id: 59064520
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  • id: 59064521
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  • id: 59064522
    {'hecke_orbit_code': 58546795222926392, 'n': 90, 'trace_an': 0}
  • id: 59064523
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  • id: 59064524
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  • id: 59064525
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  • id: 59064526
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  • id: 59064527
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  • id: 59064528
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  • id: 59064529
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  • id: 59064530
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  • id: 59064531
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  • id: 59064532
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  • id: 59064533
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  • id: 59064534
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  • id: 59064535
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  • id: 59064536
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  • id: 59064537
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  • id: 59064538
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  • id: 59064539
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  • id: 59064540
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  • id: 59064541
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  • id: 59064542
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  • id: 59064543
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  • id: 59064544
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  • id: 59064545
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  • id: 59064546
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  • id: 59064547
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  • id: 59064548
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  • id: 59064549
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  • id: 59064550
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  • id: 59064551
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  • id: 59064552
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  • id: 59064553
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  • id: 59064554
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  • id: 59064555
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  • id: 59064556
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  • id: 59064557
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  • id: 59064558
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  • id: 59064559
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  • id: 59064560
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  • id: 59064561
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  • id: 59064562
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  • id: 59064563
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  • id: 59064564
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  • id: 59064565
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  • id: 59064566
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  • id: 59064567
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  • id: 59064568
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  • id: 59064569
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  • id: 59064570
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  • id: 59064571
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  • id: 59064572
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  • id: 59064573
    {'hecke_orbit_code': 58546795222926392, 'n': 281, 'trace_an': -4332}
  • id: 59064574
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  • id: 59064575
    {'hecke_orbit_code': 58546795222926392, 'n': 289, 'trace_an': -7617}
  • id: 59064576
    {'hecke_orbit_code': 58546795222926392, 'n': 293, 'trace_an': -13290}
  • id: 59064577
    {'hecke_orbit_code': 58546795222926392, 'n': 307, 'trace_an': -6858}
  • id: 59064578
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  • id: 59064579
    {'hecke_orbit_code': 58546795222926392, 'n': 313, 'trace_an': -13215}
  • id: 59064580
    {'hecke_orbit_code': 58546795222926392, 'n': 317, 'trace_an': -1140}
  • id: 59064581
    {'hecke_orbit_code': 58546795222926392, 'n': 331, 'trace_an': -9909}
  • id: 59064582
    {'hecke_orbit_code': 58546795222926392, 'n': 337, 'trace_an': 4779}
  • id: 59064583
    {'hecke_orbit_code': 58546795222926392, 'n': 343, 'trace_an': -6141}
  • id: 59064584
    {'hecke_orbit_code': 58546795222926392, 'n': 347, 'trace_an': 29118}
  • id: 59064585
    {'hecke_orbit_code': 58546795222926392, 'n': 349, 'trace_an': -18549}
  • id: 59064586
    {'hecke_orbit_code': 58546795222926392, 'n': 353, 'trace_an': -10188}
  • id: 59064587
    {'hecke_orbit_code': 58546795222926392, 'n': 359, 'trace_an': -10458}
  • id: 59064588
    {'hecke_orbit_code': 58546795222926392, 'n': 361, 'trace_an': -9360}
  • id: 59064589
    {'hecke_orbit_code': 58546795222926392, 'n': 367, 'trace_an': -13923}
  • id: 59064590
    {'hecke_orbit_code': 58546795222926392, 'n': 373, 'trace_an': 5805}
  • id: 59064591
    {'hecke_orbit_code': 58546795222926392, 'n': 379, 'trace_an': -3339}
  • id: 59064592
    {'hecke_orbit_code': 58546795222926392, 'n': 383, 'trace_an': 5622}
  • id: 59064593
    {'hecke_orbit_code': 58546795222926392, 'n': 389, 'trace_an': -26178}
  • id: 59064594
    {'hecke_orbit_code': 58546795222926392, 'n': 397, 'trace_an': -6318}
  • id: 59064595
    {'hecke_orbit_code': 58546795222926392, 'n': 401, 'trace_an': -618}
  • id: 59064596
    {'hecke_orbit_code': 58546795222926392, 'n': 409, 'trace_an': -33}
  • id: 59064597
    {'hecke_orbit_code': 58546795222926392, 'n': 419, 'trace_an': 1860}
  • id: 59064598
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  • id: 59064599
    {'hecke_orbit_code': 58546795222926392, 'n': 431, 'trace_an': -8622}
  • id: 59064600
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  • id: 59064601
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  • id: 59064602
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  • id: 59064603
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  • id: 59064604
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  • id: 59064605
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  • id: 59064606
    {'hecke_orbit_code': 58546795222926392, 'n': 463, 'trace_an': -4599}
  • id: 59064607
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  • id: 59064608
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  • id: 59064609
    {'hecke_orbit_code': 58546795222926392, 'n': 487, 'trace_an': -18183}
  • id: 59064610
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  • id: 59064611
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  • id: 59064612
    {'hecke_orbit_code': 58546795222926392, 'n': 503, 'trace_an': -13428}
  • id: 59064613
    {'hecke_orbit_code': 58546795222926392, 'n': 509, 'trace_an': -44664}
  • id: 59064614
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  • id: 59064615
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  • id: 59064616
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  • id: 59064617
    {'hecke_orbit_code': 58546795222926392, 'n': 529, 'trace_an': -34503}
  • id: 59064618
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  • id: 59064619
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  • id: 59064620
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  • id: 59064621
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  • id: 59064622
    {'hecke_orbit_code': 58546795222926392, 'n': 569, 'trace_an': -14652}
  • id: 59064623
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  • id: 59064624
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  • id: 59064625
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  • id: 59064626
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  • id: 59064627
    {'hecke_orbit_code': 58546795222926392, 'n': 599, 'trace_an': -35034}
  • id: 59064628
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  • id: 59064629
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  • id: 59064630
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  • id: 59064631
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  • id: 59064632
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  • id: 59064633
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  • id: 59064634
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  • id: 59064635
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  • id: 59064636
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  • id: 59064637
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  • id: 59064638
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  • id: 59064639
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  • id: 59064640
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  • id: 59064641
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  • id: 59064642
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  • id: 59064643
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  • id: 59064644
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  • id: 59064645
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  • id: 59064646
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  • id: 59064647
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  • id: 59064648
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  • id: 59064649
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  • id: 59064650
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  • id: 59064651
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  • id: 59064652
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  • id: 59064653
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  • id: 59064654
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  • id: 59064655
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  • id: 59064656
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  • id: 59064657
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  • id: 59064658
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  • id: 59064659
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  • id: 59064660
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  • id: 59064661
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  • id: 59064662
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  • id: 59064663
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  • id: 59064664
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  • id: 59064665
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  • id: 59064666
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  • id: 59064667
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  • id: 59064668
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  • id: 59064669
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  • id: 59064670
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  • id: 59064671
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  • id: 59064672
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  • id: 59064673
    {'hecke_orbit_code': 58546795222926392, 'n': 881, 'trace_an': 28290}
  • id: 59064674
    {'hecke_orbit_code': 58546795222926392, 'n': 883, 'trace_an': -14679}
  • id: 59064675
    {'hecke_orbit_code': 58546795222926392, 'n': 887, 'trace_an': 48210}
  • id: 59064676
    {'hecke_orbit_code': 58546795222926392, 'n': 907, 'trace_an': 41901}
  • id: 59064677
    {'hecke_orbit_code': 58546795222926392, 'n': 911, 'trace_an': 25560}
  • id: 59064678
    {'hecke_orbit_code': 58546795222926392, 'n': 919, 'trace_an': 74532}
  • id: 59064679
    {'hecke_orbit_code': 58546795222926392, 'n': 929, 'trace_an': -21702}
  • id: 59064680
    {'hecke_orbit_code': 58546795222926392, 'n': 937, 'trace_an': 41409}
  • id: 59064681
    {'hecke_orbit_code': 58546795222926392, 'n': 941, 'trace_an': -52632}
  • id: 59064682
    {'hecke_orbit_code': 58546795222926392, 'n': 947, 'trace_an': -6756}
  • id: 59064683
    {'hecke_orbit_code': 58546795222926392, 'n': 953, 'trace_an': 80700}
  • id: 59064684
    {'hecke_orbit_code': 58546795222926392, 'n': 961, 'trace_an': 53229}
  • id: 59064685
    {'hecke_orbit_code': 58546795222926392, 'n': 967, 'trace_an': -29853}
  • id: 59064686
    {'hecke_orbit_code': 58546795222926392, 'n': 971, 'trace_an': -112488}
  • id: 59064687
    {'hecke_orbit_code': 58546795222926392, 'n': 977, 'trace_an': 73002}
  • id: 59064688
    {'hecke_orbit_code': 58546795222926392, 'n': 983, 'trace_an': -37560}
  • id: 59064689
    {'hecke_orbit_code': 58546795222926392, 'n': 991, 'trace_an': 46299}
  • id: 59064690
    {'hecke_orbit_code': 58546795222926392, 'n': 997, 'trace_an': 28578}