Embedded newform data - 10.32.a.b.1.2

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• 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': 10240, 'analytic_conductor': 60.877132819012274, 'analytic_rank': 0, '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': 1348636, 'field_disc_factorization': [[2, 2], [241, 1], [1399, 1]], 'field_poly': [-337159, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [196444243669284, -29024244, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503600164241418, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 240, 'hecke_ring_index_factorization': [[2, 4], [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': '10.32.a.b', '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': '10.32.a.b', 'nf_label': '2.2.1348636.1', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{15}q^{2}+(14512122+3^{3}\\beta )q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '31.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '10.32.a', 'trace_display': [-65536, 29024244, -61035156250, 12795158105212], 'trace_hash': 670673202424218956, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.042', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.928', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.073', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.314', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.202', 'prec': 17}, {'__RealLiteral__': 0, 'data': '62.501', 'prec': 20}], 'trace_zratio': 0, 'traces': [2, -65536, 29024244, 2147483648, -61035156250, -951066427392, 12795158105212, -70368744177664, -785828540134926, 2000000000000000, -500906012122176, 31164544692781056, -199440062300108396, -419271740791586816, -885749633789062500, 2305843009213693952, 12159060327494700852, 25750029603141255168, 127400875596685413160, -65536000000000000000, 63757121557979677464, 16413688205219463168, 1266903156187203120564, -1021199800493049643008, 1862645149230957031250, 6535251961449951920128, -28509724951692639267240, 13738696402258716786688, -9185091177630833257860, 29024244000000000000000, -146295843292215232250936, -75557863725914323419136, -193830377630097097798272, -398428088811346357518336, -390477237097534179687500, -843776970035732649345024, -4796960187038756074101068, 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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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[-0.22651703758083394, 0.0], [0.1247680036455939, 0.0], [-0.2182151006676889, 0.0], [0.4595937788702398, 0.0], [0.12420460455896892, 0.0], [1.7225538874536064, 0.0], [-0.8015221169687406, 0.0], [0.04554950251525355, 0.0], [-0.060726951974362564, 0.0], [-0.046852098832948705, 0.0], [0.4153046943655638, 0.0], [0.610201801564096, 0.0], [-0.27691500686189774, 0.0], [-0.040655827134472924, 0.0], [-0.1978711473291699, 0.0], [-1.0068814414673242, 0.0], [-0.47768115877535633, 0.0], [2.118906536664761, 0.0], [0.08735943031835877, 0.0], [-0.33203409208488593, 0.0], [-1.0704177520582374, 0.0], [-0.38862425860768396, 0.0], [-0.11057772718361976, 0.0], [-0.345611989341256, 0.0], [-0.05330943246234069, 0.0], [-0.6261104778108322, 0.0], [-0.18714959466511308, 0.0], [0.3248092343874862, 0.0], [0.2625355779046692, 0.0], [-0.018608441965929996, 0.0], [0.2269501069516841, 0.0], [-0.8155378485596915, 0.0], [0.3358075287319992, 0.0], [0.5877282306376377, 0.0], [-0.1724816862432324, 0.0], [0.30960707037267404, 0.0], [-0.9034833308947026, 0.0], [1.2434161734172624, 0.0], [0.03162277660168379, 0.0]], 'angles': [None, -0.19008011421952198, None, -0.3138132687029022, -0.4295979961432594, -0.2720700585391979, -0.24635882851406585, -0.13164671051681423, -0.22555114751644526, -0.09589610061751982, -0.36092924626008355, -0.34835309765636374, -0.21589170053883097, -0.16096675585727083, -0.15818600600493624, -0.23703053326679882, -0.14745952902799012, -0.3147563253346494, -0.2932556672511018, -0.20080606775791857, -0.058824222141636004, -0.09685450310718897, -0.2876839526099925, -0.349677306034204, -0.2653052775530611, -0.2624636056081281, -0.46783208055812864, -0.271683393070542, -0.19114176692470236, -0.21324390527112388, -0.11793272878630028, -0.14488628662783837, -0.1706296383854833, -0.3139112808559292, -0.2506974032938973, -0.35148300199241217, -0.14586905094237743, -0.17403982965473277, -0.19611037660666208, -0.19387259862691433, -0.27323490328291, -0.2246699339907929, 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-0.07731324499354136, -0.17744967483231122, -0.20297436930427762, -0.3715642009188496, -0.25804669721811907, -0.20940801467189796, -0.18821616435578678, -0.22373352458033713, -0.08919804119361836, -0.10760573778123407, -0.3700644171203237, -0.14297097570184872, -0.19003852030529136, -0.323503131878255, -0.23424868613971345, -0.3559439402557419, -0.09449962049401131, -0.25320918681867005, -0.22075875101578973, -0.24842986319052465, -0.24420593004401064, -0.25889562968661683, -0.17450233791658223, -0.17469417217460365, -0.16467324454600407, -0.2949836237469019, -0.3033358676954698, -0.2906436660999194, -0.08483260610139548, -0.2537287126551482, -0.33396638480981683, -0.28112373030540266, -0.2514808341271874, -0.2252627718896152], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 580.6539416898847, 'hecke_orbit': 2, 'hecke_orbit_code': 4503600164241418, 'label': '10.32.a.b.1.2', 'level': 10, 'weight': 32}
• 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': 10240, 'analytic_conductor': 60.877132819012274, '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': 45, 'dim': 9, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 536870922, 'hecke_orbit_dims': [2, 2, 2, 3], 'label': '10.32.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': 49, 'mf_new_dim': 9, 'num_forms': 4, 'plus_dim': 5, 'prim_orbit_index': 1, 'relative_dim': 9, 'sturm_bound': 48, 'trace_bound': 3, 'trace_display': [32768, 62917228, 30517578125, 40452679234344], 'traces': [9, 32768, 62917228, 9663676416, 30517578125, 546512961536, 40452679234344, 35184372088832, 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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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 4503600164241418, 'source_is_minimal': True, 'source_label': '10.32.a.b.1.2', 'source_level': 10, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 4503600164241418, 'target_is_minimal': True, 'target_label': '10.32.a.b.1.2', 'target_level': 10, 'twist_class_label': '10.32.a.b.1.2', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 32}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 46000
    {'charpoly_factorization': [[[32768, 1], 2]], 'hecke_orbit_code': 4503600164241418, 'p': 2}
  • id: 46001
    {'charpoly_factorization': [[[196444243669284, -29024244, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 3}
  • id: 46002
    {'charpoly_factorization': [[[30517578125, 1], 2]], 'hecke_orbit_code': 4503600164241418, 'p': 5}
  • id: 46003
    {'charpoly_factorization': [[[-221589854048420375833479164, -12795158105212, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 7}
  • id: 46004
    {'charpoly_factorization': [[[-614544618448267132546667309561856, 500906012122176, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 11}
  • id: 46005
    {'charpoly_factorization': [[[7572415479804674116358818888744804, 199440062300108396, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 13}
  • id: 46006
    {'charpoly_factorization': [[[6273984454613292536395086543546407076, -12159060327494700852, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 17}
  • id: 46007
    {'charpoly_factorization': [[[3387267156180950169947700352296343526800, -127400875596685413160, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 19}
  • id: 46008
    {'charpoly_factorization': [[[342636833614807007764358766281398974261924, -1266903156187203120564, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 23}
  • id: 46009
    {'charpoly_factorization': [[[-6566732882130632159435869013676625917332149500, 9185091177630833257860, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 29}
  • id: 46010
    {'charpoly_factorization': [[[-3595216005906243758514297358107212446279387376, 146295843292215232250936, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 31}
  • id: 46011
    {'charpoly_factorization': [[[5750384765447885286549973061502760761128875342756, 4796960187038756074101068, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 37}
  • id: 46012
    {'charpoly_factorization': [[[45319443448357398750374764135952036143225354484964, -14935619514300516260083884, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 41}
  • id: 46013
    {'charpoly_factorization': [[[150072523360924535894360270434658804992859013178564, -28899014613348735583843684, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 43}
  • id: 46014
    {'charpoly_factorization': [[[-12794830376606948669718326628441985086663549276431004, 51613521705752647137207828, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 47}
  • id: 46015
    {'charpoly_factorization': [[[45574747644870442296319585050480591317451180707113284, -612453197337950081085508644, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 53}
  • id: 46016
    {'charpoly_factorization': [[[6862848068663135574139848663991814744699975243736522000, -5407094693613569560863134280, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 59}
  • id: 46017
    {'charpoly_factorization': [[[-24432973193686454345584433901730772496533146313953193756, -2835877556240957667189879124, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 61}
  • id: 46018
    {'charpoly_factorization': [[[-234193812394206308124088845825116675782929728595349813724, -10837595864228774593398202252, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 67}
  • id: 46019
    {'charpoly_factorization': [[[852490255321186064735678634372354718625040229356063690384, -58422436263671389450567835544, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 71}
  • id: 46020
    {'charpoly_factorization': [[[4181225630037831179800803247186884954708907544836483715524, -171414457291735665495284849764, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 73}
  • id: 46021
    {'charpoly_factorization': [[[-100347592584951719717357628029272218722772200896015708683200, -188775939965441260340578960240, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 79}
  • id: 46022
    {'charpoly_factorization': [[[-208402404641897398823961637879576759693124312447274786237756, -536572539310341029223184308324, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 83}
  • id: 46023
    {'charpoly_factorization': [[[-2263391222204663486119617293905871279979528168447173698431900, 750272557446280683624160755180, 1], 1]], 'hecke_orbit_code': 4503600164241418, 'p': 89}
  • id: 46024
    {'charpoly_factorization': [[[3627078762127649800187626417906908287417953358845692305390596, 4226089759761369848050283653628, 1], 1]], 'hecke_orbit_code': 4503600164241418, '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': 2, 'label': '10.32.a.b', 'level': 10, 'portrait': 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', 'weight': 32}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 20080464
    {'hecke_orbit_code': 4503600164241418, 'n': 1, 'trace_an': 2}
  • id: 20080465
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