Embedded newform data - 10.24.a.c.1.1

Formats: - HTML - YAML - JSON - 2025-02-16T12:27:02.982715

• 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': 5760, 'analytic_conductor': 33.52040373451038, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -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': [10, 1, [7], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 1492261, 'field_disc_factorization': [[1492261, 1]], 'field_poly': [-373065, -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': [[3, [-83843566236, 91884, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199657394186, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 480, 'hecke_ring_index_factorization': [[2, 5], [3, 1], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '10.24.a.c', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '10.24.a.c', 'nf_label': '2.2.1492261.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2^{11}q^{2}+(-45942-\\beta )q^{3}+2^{22}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '23.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.24.a', 'trace_display': [4096, -91884, -97656250, 2146058908], 'trace_hash': 292022246478705662, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.991', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.782', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '67.185', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, 4096, -91884, 8388608, -97656250, -188178432, 2146058908, 17179869184, -12156555726, -200000000000, -692289571776, -385389428736, -1708452301484, 4395128643584, 4486523437500, 35184372088832, -93149332240332, -24896626126848, -970438534616600, -409600000000000, -2795322363317736, -1417809042997248, -962002498409964, -789277550051328, 4768371582031250, -3498910313439232, -6586889273700840, 9001223462060032, -40394756391690180, 9188400000000000, -54819002015519096, 72057594037927936, -128411117205326208, -190769832428199936, -104788032617187500, -50988290307784704, -2098544042837784332, -1987458118894796800, -4825767984454719672, -838860800000000000, -4273739814696341076, -5724820200074723328, -10838321168303261564, -2903672920058363904, 593581822558593750, -1970181116743606272, 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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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[-0.03162277660168379, 0.0]], 'angles': [None, -0.34318700346000214, None, -0.15881237312840482, -0.2561325692425912, -0.15131320088006817, -0.32153699214930165, -0.3533358254750323, -0.3162277395377779, -0.387748460035621, -0.31413259119276915, -0.28757640791277894, -0.23785588465453547, -0.2936957536224631, -0.40798083266882673, -0.3020916391038358, -0.314464751307347, -0.10711657945425848, -0.11929763764167862, -0.08058229877385899, -0.28651849548805924, -0.2969864404613498, -0.4018770987684585, -0.2075007773308987, -0.24616947041752443, -0.2999002872779958, -0.08384996827554346, -0.26260823978636405, -0.4250129180205159, -0.40586953883405313, -0.28076635150497387, -0.1846861318609943, -0.3211375573017542, -0.25542990972724705, -0.11237279430401656, -0.23427902088560473, -0.3444184960296865, -0.26457766009808237, -0.34474683707469844, -0.10122163135091472, -0.18475422204928052, -0.28969474336682527, -0.23120893965082617, -0.4205083322607678, -0.13193174736505492, 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'10.24.a.c.1.1', 'level': 10, 'weight': 24}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [2, 2, 2, 3], 'Nk2': 5760, 'analytic_conductor': 33.52040373451038, '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': [10, 1, [7], [1]], 'conrey_index': 1, 'cusp_dim': 33, 'dim': 9, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 402653194, 'hecke_orbit_dims': [2, 2, 2, 3], 'label': '10.24.a', 'level': 10, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 37, 'mf_new_dim': 9, 'num_forms': 4, 'plus_dim': 5, 'prim_orbit_index': 1, 'relative_dim': 9, 'sturm_bound': 36, 'trace_bound': 3, 'trace_display': [2048, 346108, 48828125, -8876639496], 'traces': [9, 2048, 346108, 37748736, 48828125, -2027167744, -8876639496, 8589934592, 273896693533, 100000000000, 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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: 40539989
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199657394186, 'source_is_minimal': True, 'source_label': '10.24.a.c.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199657394186, 'target_is_minimal': True, 'target_label': '10.24.a.c.1.1', 'target_level': 10, 'twist_class_label': '10.24.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 24}
  • id: 40539990
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199657394186, 'source_is_minimal': True, 'source_label': '10.24.a.c.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 9007268376870962, 'target_is_minimal': False, 'target_label': '50.24.b.c.49.4', 'target_level': 50, 'twist_class_label': '10.24.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 24}
  • id: 40539991
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199657394186, 'source_is_minimal': True, 'source_label': '10.24.a.c.1.1', 'source_level': 10, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268376870962, 'target_is_minimal': False, 'target_label': '50.24.b.c.49.1', 'target_level': 50, 'twist_class_label': '10.24.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 24}
  • id: 40539992
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9007199657394186, 'source_is_minimal': True, 'source_label': '10.24.a.c.1.1', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503600030023730, 'target_is_minimal': False, 'target_label': '50.24.a.b.1.2', 'target_level': 50, 'twist_class_label': '10.24.a.c.1.1', 'twist_class_level': 10, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 24}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 45200
    {'charpoly_factorization': [[[-2048, 1], 2]], 'hecke_orbit_code': 9007199657394186, 'p': 2}
  • id: 45201
    {'charpoly_factorization': [[[-83843566236, 91884, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 3}
  • id: 45202
    {'charpoly_factorization': [[[48828125, 1], 2]], 'hecke_orbit_code': 9007199657394186, 'p': 5}
  • id: 45203
    {'charpoly_factorization': [[[-20000394839022420284, -2146058908, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 7}
  • id: 45204
    {'charpoly_factorization': [[[45156545635715959762944, 692289571776, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 11}
  • id: 45205
    {'charpoly_factorization': [[[-69225384773150913441879836, 1708452301484, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 13}
  • id: 45206
    {'charpoly_factorization': [[[-3640300688597609365615082844, 93149332240332, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 17}
  • id: 45207
    {'charpoly_factorization': [[[218851621001101393505309280400, 970438534616600, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 19}
  • id: 45208
    {'charpoly_factorization': [[[-10092893162771027070621308037276, 962002498409964, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 23}
  • id: 45209
    {'charpoly_factorization': [[[-5969005089605310707490631820082300, 40394756391690180, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 29}
  • id: 45210
    {'charpoly_factorization': [[[-6227883736361474498193952806554096, 54819002015519096, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 31}
  • id: 45211
    {'charpoly_factorization': [[[806146435491962214411645690330565156, 2098544042837784332, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 37}
  • id: 45212
    {'charpoly_factorization': [[[-2584652439249378699275874877374364956, 4273739814696341076, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 41}
  • id: 45213
    {'charpoly_factorization': [[[24894252009030128145988194359041797124, 10838321168303261564, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 43}
  • id: 45214
    {'charpoly_factorization': [[[-48443503456974152391632136316832843484, 26680537462560731892, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 47}
  • id: 45215
    {'charpoly_factorization': [[[-3346990392047807803369746662066938169916, -33753250226251705956, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 53}
  • id: 45216
    {'charpoly_factorization': [[[-40664244211750933774995235665024833929200, -40199521927491576840, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 59}
  • id: 45217
    {'charpoly_factorization': [[[144627590228915173523480846464940537762404, -803606238589543626004, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 61}
  • id: 45218
    {'charpoly_factorization': [[[935355472923881997827901486371999525055076, -2102618843174916067948, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 67}
  • id: 45219
    {'charpoly_factorization': [[[-9156180158305084280028711513106977186712176, -718243220673362466264, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 71}
  • id: 45220
    {'charpoly_factorization': [[[-5318967721443484356097998110720778790320956, -3142915833207124335076, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 73}
  • id: 45221
    {'charpoly_factorization': [[[12316457561829249066579010277328279579304000, 7052319452018896981520, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 79}
  • id: 45222
    {'charpoly_factorization': [[[52828166656476366705330545577190936404865284, 21904593841262540808444, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 83}
  • id: 45223
    {'charpoly_factorization': [[[-193636866708520377784643152386505372050783900, 198123608118313558380, 1], 1]], 'hecke_orbit_code': 9007199657394186, 'p': 89}
  • id: 45224
    {'charpoly_factorization': [[[381079828277423051376877204026723417226655236, -115777326079591770710788, 1], 1]], 'hecke_orbit_code': 9007199657394186, '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': 3, 'label': '10.24.a.c', 'level': 10, 'portrait': 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', 'weight': 24}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29421523
    {'hecke_orbit_code': 9007199657394186, 'n': 1, 'trace_an': 2}
  • id: 29421524
    {'hecke_orbit_code': 9007199657394186, 'n': 2, 'trace_an': 4096}
  • id: 29421525
    {'hecke_orbit_code': 9007199657394186, 'n': 3, 'trace_an': -91884}
  • id: 29421526
    {'hecke_orbit_code': 9007199657394186, 'n': 4, 'trace_an': 8388608}
  • id: 29421527
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